In [1]:
# Import pakietów
import pandas as pd
import numpy as np
import yaml
from pathlib import Path, PurePath
from sqlalchemy import create_engine
import cx_Oracle
import sys
import plotly.express as px
import plotly.graph_objects as go
import plotly.figure_factory as ff
import ppscore as pps
import seaborn as sns
import matplotlib.pyplot as plt
import datetime
import shap
from scipy.stats.distributions import uniform, randint
from scipy.stats import zscore
from lightgbm import LGBMRegressor
from sklearn.model_selection import RandomizedSearchCV, StratifiedKFold, KFold, train_test_split
from yellowbrick.regressor.residuals import residuals_plot, prediction_error
# Zarządzanie ścieżkami
cwd = Path.cwd()
path = PurePath(cwd)
config_path = path.parent.joinpath("config").joinpath("config.yaml")
dtypes_path = path.parent.joinpath("config").joinpath("dtypes_schema.yaml")
outputs_path = path.parent.joinpath("outputs")
functions_path = path.parent.joinpath("src").joinpath("python")
# Dodanie ścieżki do funkcji stworzonych w ramach projektu
sys.path.append(str(functions_path))
The sklearn.metrics.classification module is deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.metrics. Anything that cannot be imported from sklearn.metrics is now part of the private API.
In [2]:
# Ustawienia biblioteki pandas
pd.options.display.max_columns = 40
pd.options.display.max_rows = 500
pd.options.display.max_colwidth = None
pd.set_option('display.float_format', lambda x: '%.3f' % x)
In [3]:
# Import funkcji stworzonych w ramach projektu
from data_cleaning_and_EDA import (obtain_district,
obtain_localisation,
obtain_travel_info_driving,
obtain_travel_info_transit,
create_bar_plot,
calculate_metrics)
In [4]:
# Wczytanie schematu typów danych
with open(dtypes_path, "r") as ymlfile:
# Using yaml SafeLoader to load configuration into dict
dtypes = yaml.load(ymlfile, Loader=yaml.SafeLoader)
1. Pobranie danych z bazy danych¶
Tworzenia połączenia do bazy danych i pobranie zawartości tabeli OTODOM_OFFERS_DETAILS do postaci ramki danych df
In [5]:
# Wczytanie pliku konfiguracyjnego
with open(config_path, "r") as ymlfile:
# Using yaml SafeLoader to load configuration into dict
config = yaml.load(ymlfile, Loader=yaml.SafeLoader)
# Załaduj dane do połączenia z bazą z pliku config
host = config["host"]
port = config["port"]
service_name = config["service_name"]
user = config["user"]
password = config["password"]
# Stwórz połączenie do bazy danych wykorzystując pakiet SQLAlchemy
dns = cx_Oracle.makedsn(host, port, sid=service_name)
connection_string = f'oracle+cx_oracle://{user}:{password}@{dns}'
engine = create_engine(connection_string)
In [6]:
# Pobranie danych z bazy do ramki danych
sql_query = """SELECT * from grzkup_p.otodom_offers_details where id in (SELECT id from (SELECT DISTINCT numer_oferty, id from grzkup_p.otodom_offers_details)) ORDER BY id"""
df = pd.read_sql_query(sql=sql_query, con=engine, index_col="id")
In [7]:
# # Zapisz zbiór jako plik csv (backup)
# df.to_csv(outputs_path.joinpath("input_dataset.csv"), encoding="windows-1250")
In [8]:
# # Wczytaj zbiór z pliku CSV - jeśli brak połączenia z bazą danych
# df = pd.read_csv(outputs_path.joinpath("input_dataset.csv"), encoding="windows-1250", dtype=dtypes, index_col=0)
2. Sprawdzenie jakości zbioru + czyszczenie¶
In [9]:
# 5 pierwszych rekordów
df.head()
Out[9]:
| id_offers | miasto | dzielnica | ulica | tytul | powierzchnia | cena | cena_metr | liczba_pokoi | rynek | zabudowa | pietro | liczba_pieter | material_budynku | okna | ogrzewanie | rok_budowy | stan_wykonczenia | czynsz | forma_wlasnosci | numer_oferty | teren_zamkniety | balkon | ogrodek | garaz_miejsce | winda | piwnica | monitoring_ochrona | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| id | ||||||||||||||||||||||||||||
| 1 | 1 | Gdańsk | Osowa | ul. Homera | Wygodne mieszkanie 3-pokojowe (41,75 m2) z ogrodem | 41.750 | 309000 | 7401.000 | 3 | pierwotny | blok | parter | 2.000 | pustak | plastikowe | miejskie | 2020.000 | do_wykonczenia | nan | pelna_wlasnosc | 60942989 | 0 | 0 | 1 | 0 | 1 | 0 | 0 |
| 2 | 2 | Gdańsk | Ujeścisko-Łostowice | ul. Świętokrzyska | Idealne, nowe mieszkanie 2 pokojowe | 46.600 | 415000 | 8906.000 | 2 | wtorny | blok | 2 | 2.000 | None | plastikowe | miejskie | 2018.000 | do_zamieszkania | 400.000 | pelna_wlasnosc | 60831045 | 0 | 1 | 0 | 0 | 1 | 1 | 1 |
| 3 | 3 | Gdańsk | Śródmieście | Wałowa | 2 pokoje w centrum Gdańska w niskiej cenie | 33.800 | 313000 | 9260.000 | 2 | pierwotny | apartamentowiec | 4 | 5.000 | None | None | miejskie | 2020.000 | do_wykonczenia | 9.000 | pelna_wlasnosc | 60933557 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 4 | 4 | Gdynia | Dąbrowa | Sojowa | Gdynia Dąbrowa Idealna Lokalizacja 2 pokoje, aneks | 42.000 | 249000 | 5929.000 | 2 | wtorny | blok | 3 | 3.000 | wielka_plyta | plastikowe | miejskie | 1994.000 | do_zamieszkania | 340.000 | pelna_wlasnosc | 60783576 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 5 | 5 | Gdynia | Dąbrowa | None | Kameralne bezpieczne w zieleni garaż 30m2 kominek | 132.000 | 1120000 | 8485.000 | 4 | wtorny | apartamentowiec | 1 | 2.000 | None | None | gazowe | 2018.000 | do_zamieszkania | nan | pelna_wlasnosc | 60949737 | 1 | 0 | 0 | 0 | 0 | 1 | 1 |
In [10]:
# Wyświetlenie statystyk dla wszystkich zmiennych
df.describe()
Out[10]:
| id_offers | powierzchnia | cena | cena_metr | liczba_pokoi | liczba_pieter | rok_budowy | czynsz | numer_oferty | teren_zamkniety | balkon | ogrodek | garaz_miejsce | winda | piwnica | monitoring_ochrona | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 4535.000 | 4535.000 | 4535.000 | 4535.000 | 4535.000 | 4402.000 | 3968.000 | 2102.000 | 4535.000 | 4535.000 | 4535.000 | 4535.000 | 4535.000 | 4535.000 | 4535.000 | 4535.000 |
| mean | 2492.069 | 61.948 | 655785.911 | 10383.284 | 2.750 | 4.643 | 1997.432 | 483.096 | 60614873.263 | 0.163 | 0.569 | 0.135 | 0.000 | 0.396 | 0.502 | 0.218 |
| std | 1465.159 | 28.816 | 539693.134 | 4020.825 | 1.006 | 3.190 | 289.745 | 201.431 | 1075283.454 | 0.370 | 0.495 | 0.342 | 0.000 | 0.489 | 0.500 | 0.413 |
| min | 1.000 | 15.000 | 140000.000 | 1939.000 | 1.000 | 1.000 | 80.000 | 3.000 | 39200108.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 25% | 1219.500 | 43.180 | 389465.000 | 7847.500 | 2.000 | 3.000 | 1975.000 | 350.000 | 60699195.500 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 50% | 2549.000 | 56.620 | 500000.000 | 9350.000 | 3.000 | 4.000 | 2008.000 | 450.000 | 60842625.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 |
| 75% | 3757.500 | 72.410 | 729000.000 | 11895.000 | 3.000 | 5.000 | 2019.000 | 600.000 | 60911108.000 | 0.000 | 1.000 | 0.000 | 0.000 | 1.000 | 1.000 | 0.000 |
| max | 4981.000 | 393.400 | 16000000.000 | 49933.000 | 9.000 | 38.000 | 20004.000 | 2000.000 | 60960685.000 | 1.000 | 1.000 | 1.000 | 0.000 | 1.000 | 1.000 | 1.000 |
Zmienna "rok_budowy" zawiera błędne wartości na co wskazuje wartość minimalna 80 i maksymalna 20004.
In [11]:
# Sprawdzenie ofert dla budynków zbudowanych wcześniej niż 1900 rok
df[df["rok_budowy"] < 1900]["rok_budowy"]
Out[11]:
id 23 1802.000 863 1802.000 1084 1005.000 1456 1895.000 1888 1802.000 1889 1898.000 1912 1898.000 1978 1890.000 2168 1898.000 2505 1869.000 2627 1890.000 2665 1898.000 3341 80.000 3364 1802.000 3438 1802.000 3791 1895.000 Name: rok_budowy, dtype: float64
In [12]:
# Sprawdzenie rekordów z najniższymi wartościami - 80 i 1005 rok budowy
df[df["rok_budowy"] < 1100]
# Sprawdzenie rejonu dla ulicy Narcyzowej (bloki mieszkalne) wskazuje, że najprawdopodobniej
# autor ogłoszenia miał na myśli rok 1980
df[df["rok_budowy"] == 80]["rok_budowy"] = 1980
# W drugim przypadku, z uwagi na możliwość błędnego uzupełnienia wartości, zdecydowano się wyrzucić rekord z rokiem budowy jako 1005
to_drop_index = df[df["rok_budowy"] == 1005].index
df.drop(to_drop_index, axis=0)
Out[12]:
| id_offers | miasto | dzielnica | ulica | tytul | powierzchnia | cena | cena_metr | liczba_pokoi | rynek | zabudowa | pietro | liczba_pieter | material_budynku | okna | ogrzewanie | rok_budowy | stan_wykonczenia | czynsz | forma_wlasnosci | numer_oferty | teren_zamkniety | balkon | ogrodek | garaz_miejsce | winda | piwnica | monitoring_ochrona | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| id | ||||||||||||||||||||||||||||
| 1 | 1 | Gdańsk | Osowa | ul. Homera | Wygodne mieszkanie 3-pokojowe (41,75 m2) z ogrodem | 41.750 | 309000 | 7401.000 | 3 | pierwotny | blok | parter | 2.000 | pustak | plastikowe | miejskie | 2020.000 | do_wykonczenia | nan | pelna_wlasnosc | 60942989 | 0 | 0 | 1 | 0 | 1 | 0 | 0 |
| 2 | 2 | Gdańsk | Ujeścisko-Łostowice | ul. Świętokrzyska | Idealne, nowe mieszkanie 2 pokojowe | 46.600 | 415000 | 8906.000 | 2 | wtorny | blok | 2 | 2.000 | None | plastikowe | miejskie | 2018.000 | do_zamieszkania | 400.000 | pelna_wlasnosc | 60831045 | 0 | 1 | 0 | 0 | 1 | 1 | 1 |
| 3 | 3 | Gdańsk | Śródmieście | Wałowa | 2 pokoje w centrum Gdańska w niskiej cenie | 33.800 | 313000 | 9260.000 | 2 | pierwotny | apartamentowiec | 4 | 5.000 | None | None | miejskie | 2020.000 | do_wykonczenia | 9.000 | pelna_wlasnosc | 60933557 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 4 | 4 | Gdynia | Dąbrowa | Sojowa | Gdynia Dąbrowa Idealna Lokalizacja 2 pokoje, aneks | 42.000 | 249000 | 5929.000 | 2 | wtorny | blok | 3 | 3.000 | wielka_plyta | plastikowe | miejskie | 1994.000 | do_zamieszkania | 340.000 | pelna_wlasnosc | 60783576 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 5 | 5 | Gdynia | Dąbrowa | None | Kameralne bezpieczne w zieleni garaż 30m2 kominek | 132.000 | 1120000 | 8485.000 | 4 | wtorny | apartamentowiec | 1 | 2.000 | None | None | gazowe | 2018.000 | do_zamieszkania | nan | pelna_wlasnosc | 60949737 | 1 | 0 | 0 | 0 | 0 | 1 | 1 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 4531 | 4977 | Gdynia | Grabówek | Bronisława Dembińskiego | Grabówek! 3 pokoje! Semeko | 68.200 | 630000 | 9238.000 | 3 | wtorny | None | 5 | 5.000 | None | None | miejskie | 2012.000 | None | nan | pelna_wlasnosc | 60749827 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 4532 | 4978 | Gdańsk | Wrzeszcz | Grunwaldzka | 3 Pokoje/ Wrzeszcz/ Kamienica/ Wysokość 3,75M | 79.300 | 595000 | 7503.000 | 3 | wtorny | kamienica | 1 | 3.000 | cegla | None | gazowe | 1905.000 | do_zamieszkania | nan | pelna_wlasnosc | 60749655 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
| 4533 | 4979 | Gdynia | Redłowo | Powstania Styczniowego | Dwupokojowe mieszkanie w doskonałej lokalizacji. | 60.450 | 699000 | 11563.000 | 2 | wtorny | apartamentowiec | 4 | 5.000 | inne | None | miejskie | 2010.000 | do_zamieszkania | 350.000 | pelna_wlasnosc | 60649032 | 1 | 1 | 0 | 0 | 1 | 0 | 1 |
| 4534 | 4980 | Sopot | Centrum | Świemirowska | Mieszkanie - Sopot Centrum | 71.200 | 960000 | 13483.000 | 3 | wtorny | blok | 2 | 3.000 | None | None | miejskie | 2006.000 | do_zamieszkania | nan | pelna_wlasnosc | 60574643 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| 4535 | 4981 | Sopot | Wyścigi | None | Apartament - Sopot Wyścigi | 36.000 | 829000 | 23028.000 | 1 | wtorny | apartamentowiec | 1 | 3.000 | None | None | miejskie | 2013.000 | do_zamieszkania | 180.000 | pelna_wlasnosc | 60656898 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
4534 rows × 28 columns
In [13]:
# Sprawdzenie ofert dla budynków, których data budowy jest później niż 2020 rok
df[df["rok_budowy"] > 2020]["rok_budowy"]
Out[13]:
id 42 2021.000 57 2021.000 60 2022.000 66 2021.000 67 2021.000 69 2021.000 117 2021.000 165 2021.000 185 2021.000 219 2021.000 220 2021.000 248 2021.000 326 2022.000 565 2021.000 584 2021.000 652 2021.000 708 2021.000 717 2021.000 728 2021.000 729 2021.000 778 2021.000 779 2021.000 780 2021.000 831 2021.000 832 2021.000 833 2021.000 943 2021.000 976 2021.000 977 2021.000 981 2021.000 1119 2021.000 1137 2021.000 1165 2021.000 1220 2021.000 1235 2021.000 1248 2021.000 1260 2021.000 1281 2021.000 1298 2022.000 1372 2021.000 1378 2021.000 1385 2021.000 1410 2021.000 1411 2021.000 1413 2021.000 1414 2021.000 1415 2021.000 1416 2021.000 1418 2021.000 1420 2021.000 1424 2021.000 1425 2021.000 1436 2021.000 1439 2021.000 1444 2021.000 1451 2021.000 1515 2021.000 1525 2022.000 1527 2021.000 1534 2021.000 1549 2021.000 1550 2021.000 1551 2021.000 1557 2021.000 1560 2022.000 1561 2021.000 1568 2021.000 1569 2021.000 1570 2022.000 1572 2021.000 1590 2021.000 1676 2021.000 1705 2021.000 1706 2021.000 1707 2021.000 1722 2021.000 1723 2021.000 1771 2021.000 1791 2022.000 1806 2021.000 1824 2021.000 1825 2021.000 1843 2022.000 1844 2022.000 1845 2022.000 1869 2021.000 1870 2021.000 1871 2021.000 1872 2021.000 1873 2021.000 1874 2021.000 1875 2021.000 1878 2021.000 1879 2021.000 1880 2021.000 1881 2021.000 1882 2021.000 1883 2021.000 1884 2021.000 1885 2021.000 1886 2021.000 1892 2021.000 1893 2021.000 1894 2021.000 1895 2021.000 1896 2021.000 1898 2021.000 1899 2021.000 1918 2021.000 1935 2022.000 2081 2021.000 2240 2021.000 2242 2021.000 2254 2022.000 2255 2022.000 2256 2021.000 2257 2021.000 2258 2021.000 2263 2022.000 2264 2022.000 2265 2022.000 2290 2021.000 2291 2021.000 2292 2021.000 2293 2021.000 2294 2021.000 2298 2021.000 2302 2021.000 2315 2022.000 2345 2021.000 2346 2021.000 2347 2021.000 2348 2021.000 2349 2021.000 2350 2021.000 2351 2021.000 2352 2021.000 2353 2021.000 2354 2021.000 2355 2021.000 2356 2021.000 2361 2021.000 2362 2021.000 2363 2021.000 2364 2021.000 2365 2021.000 2366 2021.000 2367 2021.000 2368 2021.000 2369 2021.000 2370 2021.000 2371 2021.000 2372 2021.000 2373 2021.000 2374 2021.000 2375 2021.000 2376 2021.000 2377 2021.000 2378 2021.000 2379 2021.000 2384 2021.000 2385 2021.000 2386 2021.000 2387 2021.000 2388 2021.000 2389 2021.000 2390 2021.000 2391 2021.000 2392 2021.000 2393 2021.000 2394 2021.000 2395 2021.000 2396 2021.000 2397 2021.000 2398 2021.000 2399 2021.000 2400 2021.000 2409 2021.000 2410 2021.000 2411 2021.000 2412 2021.000 2413 2021.000 2414 2021.000 2415 2021.000 2416 2021.000 2418 2021.000 2420 2021.000 2491 2021.000 2558 2021.000 2658 2021.000 2660 2021.000 2661 2021.000 2681 2021.000 2683 2021.000 2684 2021.000 2685 2021.000 2693 2021.000 2733 2021.000 2739 2021.000 2741 2021.000 2742 2021.000 2743 2021.000 2747 2021.000 2748 2021.000 2749 2021.000 2750 2021.000 2751 2021.000 2761 2021.000 2762 2021.000 2776 2021.000 2778 2021.000 2779 2021.000 2780 2021.000 2799 2022.000 2800 2022.000 2801 2022.000 2802 2021.000 2810 2022.000 2824 2021.000 2828 2021.000 2831 2021.000 2835 2021.000 2858 2021.000 2859 2021.000 2875 2021.000 2876 2021.000 2888 2021.000 2892 2022.000 2907 2021.000 2912 2022.000 2940 2021.000 2942 2022.000 2943 2021.000 2944 2021.000 2945 2021.000 2948 2022.000 2949 2022.000 2955 2021.000 2956 2021.000 2957 2021.000 2958 2021.000 2992 2021.000 2993 2021.000 3004 2021.000 3008 2021.000 3032 2021.000 3051 2021.000 3080 2021.000 3081 2021.000 3146 2021.000 3147 2021.000 3148 2021.000 3150 2021.000 3154 2021.000 3155 2021.000 3165 2022.000 3167 2022.000 3211 2021.000 3212 2021.000 3213 2021.000 3214 2021.000 3215 2021.000 3254 2022.000 3288 2021.000 3289 2021.000 3314 2021.000 3319 2021.000 3321 2021.000 3322 2021.000 3329 2021.000 3349 2022.000 3355 2021.000 3360 2021.000 3361 2021.000 3379 2021.000 3395 2021.000 3397 2021.000 3398 2021.000 3457 2021.000 3471 2021.000 3474 2022.000 3480 2021.000 3481 2021.000 3483 2021.000 3531 2021.000 3550 2021.000 3551 2021.000 3560 2021.000 3566 2021.000 3568 2022.000 3586 2021.000 3594 2021.000 3599 2021.000 3600 2021.000 3606 2021.000 3608 2021.000 3609 2021.000 3625 2021.000 3635 2021.000 3656 2021.000 3663 2021.000 3664 2021.000 3699 2021.000 3727 2021.000 3733 2022.000 3745 2021.000 3749 2021.000 3750 2021.000 3751 2021.000 3752 2021.000 3753 2021.000 3754 2021.000 3763 2021.000 3772 2021.000 3773 2021.000 3815 2021.000 3816 2021.000 3817 2021.000 3889 2021.000 3890 2021.000 3897 2021.000 3912 2021.000 3913 2021.000 3914 2021.000 3915 2021.000 3916 2021.000 3917 2021.000 3918 2021.000 3919 2021.000 3923 2021.000 3940 2021.000 3966 2021.000 3967 2021.000 3968 2021.000 3969 2021.000 3973 2021.000 3974 2021.000 3975 2023.000 3976 2021.000 3977 2021.000 3979 2021.000 4002 2021.000 4014 2021.000 4015 2021.000 4030 2021.000 4031 2021.000 4032 2021.000 4033 2021.000 4034 2021.000 4049 2021.000 4057 2021.000 4060 2021.000 4122 2021.000 4138 2022.000 4152 2021.000 4153 2021.000 4158 2021.000 4159 2021.000 4216 2022.000 4223 20004.000 4270 2021.000 4281 2021.000 4292 2021.000 4303 2021.000 4339 2021.000 4358 2021.000 4359 2022.000 4394 2021.000 4447 2022.000 4449 2021.000 4450 2021.000 4454 2021.000 4456 2021.000 4464 2021.000 4485 2021.000 4488 2021.000 4489 2021.000 4490 2021.000 4491 2021.000 4493 2021.000 4499 2021.000 4510 2021.000 4511 2021.000 Name: rok_budowy, dtype: float64
In [14]:
# Sprawdzenie rekordu z najniższą wartością - 20004 rok budowy
df[df["rok_budowy"] == 20004]
# Poprawienie wartości na rok 2004
df[df["rok_budowy"] == 20004]["rok_budowy"] = 2004
In [15]:
# Liczba wartości w kolumnie miasto powinny być tylko Gdańsk, Sopot, Gdynia
print(df["miasto"].value_counts())
Gdańsk 2742 Gdynia 1320 Sopot 328 Nasypowa 25 Niepodległości 8 Władysława Łokietka 7 Bohaterów Monte Cassino 6 ul. Władysława IV 34 6 Stylowa 5 23 Marca 5 ul. 10 Lutego 5 al. Niepodległości 4 Tadeusza Kościuszki 4 Bosmańska 3 Aleja Iberyjska 3 Armii Krajowej 3 Władysława IV 2 ul. Władysława Łokietka 55i 2 Świemirowska 2 Oskara Kolberga 2 inż. J. Śmidowicza 2 Żeliwna 2 Stefana Okrzei 2 Artura Grottgera 2 ul. Bitwy pod Płowcami 2 Władysława Jagiełły 2 Mikołaja Reja 2 Swarzewska 1 Borowikowa 1 Bitwy pod Płowcami 1 Wielkokacka 1 Nauczycielska 1 Kłajpedzka 1 Pogodna 1 Hugo Kołłątaja 1 Świętojańska 1 gen. Mariusza Zaruskiego 1 Chylońska 1 Książąt Pomorskich 1 Gryfa Pomorskiego 1 Alfonsa Chmielewskiego 1 Żelazna 1 Obodrzyców 1 Dębowa 1 ul. Warszawska 1 Mazowiecka 1 Grunwaldzka 1 ul. Marii Curie-Skłodowskiej 1 Podgórska 1 Sokoła 1 Filipkowskiego 1 Kazimierza Wielkiego 1 Sambora 1 ul. Bronisława Dembińskiego 1 Jana Sobieskiego 1 Morska 1 Dantyszka 1 gen. de Gaulle'a 1 Dywizjonu 303 1 Radosna 1 Gospody 1 Antoniego Abrahama 1 Pomorska 1 ul. Chylońska 1 Ikara 1 ul. Tatarczana 1 Name: miasto, dtype: int64
In [16]:
# Wyświetlenie miasta, dzielnicy, ulicy oraz tytułu dla rekordów z niepoprawną wartością zmiennej miasto
df.loc[~df["miasto"].isin(["Gdańsk", "Gdynia", "Sopot"]), ["miasto", "dzielnica", "ulica", "tytul"]]
Out[16]:
| miasto | dzielnica | ulica | tytul | |
|---|---|---|---|---|
| id | ||||
| 124 | Stylowa | Gdańsk | pomorskie | Przytulne mieszkanie dla rodziny |
| 140 | ul. Chylońska | Gdynia | pomorskie | Kameralne mieszkanie w Gdyni 74 m3 |
| 173 | al. Niepodległości | Sopot | pomorskie | Mieszkanie, Sopot al. Niepodległości |
| 241 | ul. Bronisława Dembińskiego | Gdynia | pomorskie | Mieszkanie os. Horyzonty Gdyni Grabówek |
| 281 | ul. Władysława IV 34 | Sopot | pomorskie | Luksusowy apartament 200 m2, ogród |
| 296 | Świemirowska | Sopot | pomorskie | 2 mieszkania w 1! |
| 297 | Tadeusza Kościuszki | Sopot | pomorskie | Klimatyczne w Sopockiej kamienicy - 3,3m wysokości |
| 301 | Niepodległości | Sopot | pomorskie | Ogrodzona posesja + możliwość wykupienia strychu |
| 306 | ul. Władysława IV 34 | Sopot | pomorskie | Luksusowy apartament 200 m2, ogród |
| 355 | Niepodległości | Sopot | pomorskie | Mieszkanie 3 pokojowe do remontu |
| 375 | 23 Marca | Sopot | pomorskie | Kawalerka Sopot Górny |
| 430 | al. Niepodległości | Sopot | pomorskie | 3-pokojowe mieszkanie z klimatem w kamienicy! |
| 457 | Bohaterów Monte Cassino | Sopot | pomorskie | Trzy Gracje Monte Cassino |
| 458 | Bohaterów Monte Cassino | Sopot | pomorskie | 100m2 w nowym budownictwie na Sopockim Monciaku |
| 459 | Bohaterów Monte Cassino | Sopot | pomorskie | second home/ Idealne pod wynajem/ 3 metry wysokośc |
| 489 | Filipkowskiego | Gdynia | pomorskie | Gotowe do wprowadzenia Wiczlino Ogród 3 pokojowe |
| 507 | Bitwy pod Płowcami | Sopot | pomorskie | Eleganckie 2-pokojowe wnętrze, 200 M od morza. |
| 519 | Grunwaldzka | Sopot | pomorskie | Dobra Inwestycj. |
| 579 | Tadeusza Kościuszki | Sopot | pomorskie | Apartament w unikatowej Sopockiej kamienicy |
| 672 | ul. Bitwy pod Płowcami | Sopot | pomorskie | Apartament nad samym morzem Sopot |
| 799 | ul. Władysława IV 34 | Sopot | pomorskie | Luksusowy apartament 200 m2, ogród |
| 913 | Niepodległości | Sopot | pomorskie | Piękny apartament w sercu Sopotu |
| 953 | Niepodległości | Sopot | pomorskie | Dwa pokoje z balkonem- Sopot! |
| 973 | 23 Marca | Sopot | pomorskie | Słoneczne mieszkanie na kameralnym osiedlu - Sopot |
| 1004 | Artura Grottgera | Sopot | pomorskie | Mieszkanie 50m2 od Monte Cassino! |
| 1026 | Gryfa Pomorskiego | Gdynia | pomorskie | 3 pok. z garażem oraz 2 balkonami po remoncie !!! |
| 1068 | ul. Władysława IV 34 | Sopot | pomorskie | Luksusowy apartament 200 m2, ogród |
| 1173 | Niepodległości | Sopot | pomorskie | Słoneczna kawalerka - Sopot blisko Skm |
| 1181 | Władysława IV | Gdynia | pomorskie | Centrum Gdyni, miejsca parkingowe, 15min od plaży |
| 1188 | Nasypowa | Gdynia | pomorskie | Hot oferta!!! Obowiązuje tylko do 12.09.2020.!!! |
| 1189 | Nasypowa | Gdynia | pomorskie | Hot oferta, ważna tylko do 12.09.2020. |
| 1190 | Nasypowa | Gdynia | pomorskie | Hot Oferta - ważna tylko do 12 września 2020 |
| 1191 | Nasypowa | Gdynia | pomorskie | Nowoczesne mieszkanie z widokiem na port |
| 1192 | Nasypowa | Gdynia | pomorskie | Słoneczne mieszkanie w Gdyni z ogródkiem. |
| 1193 | Nasypowa | Gdynia | pomorskie | Mieszkanie z ogródkiem i tarasem Super Lokalizacja |
| 1194 | Nasypowa | Gdynia | pomorskie | Duże, nowe, 4-pokojowe z ogrodem 431 665 zł |
| 1195 | Nasypowa | Gdynia | pomorskie | Nowe 2 pokojowe mieszkanie z balkonem |
| 1196 | Nasypowa | Gdynia | pomorskie | Jednopokojowe mieszkanie w świetnej lokalizacji |
| 1197 | Nasypowa | Gdynia | pomorskie | 4 pokojowe mieszkanie z widokiem na las w Gdyni ! |
| 1198 | Nasypowa | Gdynia | pomorskie | Nowe 4 pokojowe mieszkanie z dwoma ogródkami |
| 1199 | Nasypowa | Gdynia | pomorskie | Gdynia, 2-pokojowe, nowe mieszkanie 316 575 zł! |
| 1200 | Nasypowa | Gdynia | pomorskie | Kawalerka Z Ogródkiem Blisko Centrum ! |
| 1201 | Nasypowa | Gdynia | pomorskie | Ostatnie 3 pokojowe mieszkanie z tarasem z Kw !!!! |
| 1202 | Nasypowa | Gdynia | pomorskie | 3 pokojowe mieszkanie w Gdyni z widokiem na Port! |
| 1203 | Nasypowa | Gdynia | pomorskie | 2 pokoje 42,55 m2 + ogródek- blisko Centrum Gdyni |
| 1205 | Dantyszka | Gdynia | pomorskie | Mieszkanie z widokiem na panoramę portu w Gdyni. |
| 1206 | Nasypowa | Gdynia | pomorskie | 4 pokojowe mieszkanie w Gdyni za 424 705 zł ! |
| 1207 | Nasypowa | Gdynia | pomorskie | 2 pokoje 37,5 m2- blisko Centrum Gdyni! |
| 1208 | Nasypowa | Gdynia | pomorskie | 4 pokojowe mieszkanie w Gdyni za 435 414 zł ! |
| 1212 | Nasypowa | Gdynia | pomorskie | Świetna cena - 4 pokoje w Gdyni za 410 357 zł ! |
| 1213 | Nasypowa | Gdynia | pomorskie | Gdynia: nowe 4 pokojowe w cenie 439 475,50 zł ! |
| 1306 | Władysława IV | Sopot | pomorskie | Mieszkanie z werandą w pięknej sopockiej kamienicy |
| 1315 | Morska | Gdynia | pomorskie | Apartament Dwupoziomowy 105 m2 Gdynia! |
| 1320 | Bohaterów Monte Cassino | Sopot | pomorskie | Sopot Klimatyczne mieszkanie na Monciaku |
| 1346 | Żeliwna | Gdynia | pomorskie | Trzy pokojowe mieszkanie na Obłużu. |
| 1427 | ul. Warszawska | Gdynia | pomorskie | Na sprzedaż 2-pokojowe mieszkanie - ul. Warszawska |
| 1435 | Żelazna | Gdynia | pomorskie | Nowy apartament z pięknym widokiem na las. |
| 1476 | Dywizjonu 303 | Gdańsk | pomorskie | 2 Pokoje/Zaspa/Piękny Widok/Idealne Pod Inwestycję |
| 1587 | Nasypowa | Gdynia | pomorskie | Komfortowe mieszkanie w świetnej lokalizacji |
| 1588 | Nasypowa | Gdynia | pomorskie | Kompaktowe mieszkanie w świetnej lokalizacji |
| 1589 | Nasypowa | Gdynia | pomorskie | Kompaktowe mieszkanie w świetnej lokalizacji |
| 1662 | ul. Władysława IV 34 | Sopot | pomorskie | Luksusowy apartament 200 m2, ogród |
| 1694 | Bohaterów Monte Cassino | Sopot | pomorskie | Apartament w sercu Sopotu, na popularnym Monciaku |
| 1709 | Władysława Łokietka | Sopot | pomorskie | Apartament z własnym ogródkiem blisko morza |
| 1766 | Aleja Iberyjska | Gdynia | pomorskie | Apartament Pogórze, Gdynia |
| 1819 | al. Niepodległości | Sopot | pomorskie | Mieszkanie, Sopot al. Niepodległości |
| 1915 | inż. J. Śmidowicza | Gdańsk | pomorskie | piękny widok! idealne dla studenta lub na 1 mieszk |
| 1970 | Obodrzyców | Sopot | pomorskie | Ekskluzywny apartament w Sopocie, 1500 M od morza |
| 2145 | Jana Sobieskiego | Sopot | pomorskie | Zjawiskowe mieszkanie w pięknej kamienicy |
| 2161 | Sambora | Gdynia | pomorskie | Gdynia , 3 pok Umeblowane, Taras, Widok Morze, Las |
| 2175 | al. Niepodległości | Sopot | pomorskie | Mieszkanie pod inwestycję |
| 2178 | Radosna | Gdynia | pomorskie | Przestronne 3 pokoje z ogródkiem Gdynia Karwiny |
| 2191 | Stefana Okrzei | Sopot | pomorskie | Zamieszkaj w Kurorcie blisko morza |
| 2194 | gen. Mariusza Zaruskiego | Gdynia | pomorskie | Przestronne 3 pokoje Gdynia Chwarzno - Wiczlino |
| 2236 | ul. Władysława IV 34 | Sopot | pomorskie | Luksusowy apartament 200 m2, ogród |
| 2283 | Niepodległości | Sopot | pomorskie | Gotowa Inwestycja | Kawalerka 33m2 | Sopot centrum |
| 2312 | gen. de Gaulle'a | Gdańsk | pomorskie | Gdańsk Wrzeszcz ,lokalizacja ma znaczenie! |
| 2327 | Tadeusza Kościuszki | Sopot | pomorskie | Rezydencja w Sopocie - dwupoziomowy apartament |
| 2526 | ul. Marii Curie-Skłodowskiej | Gdynia | pomorskie | słoneczne, ciche mieszkanie w sąsiedztwie lasu |
| 2553 | Świemirowska | Sopot | pomorskie | Wygodne mieszkanie w zielonej części Sopotu! |
| 2555 | Władysława Łokietka | Sopot | pomorskie | Super inwestycja, dwa mieszkania w cenie jednego |
| 2559 | Żeliwna | Gdynia | pomorskie | Mieszkanie z charakterem,industrialna Gdynia |
| 2583 | Armii Krajowej | Sopot | pomorskie | Urokliwa kamienica w Górnym Sopocie, 2pokoje |
| 2615 | Nasypowa | Gdynia | pomorskie | Mieszkanie 2 pokojowe na Oksywiu |
| 2620 | Kazimierza Wielkiego | Sopot | pomorskie | Apartament Dolny Sopot |
| 2671 | Artura Grottgera | Sopot | pomorskie | Sopot 2-pokojowe mieszkanie w Centrum |
| 2672 | 23 Marca | Sopot | pomorskie | 3-pokojowe mieszkanie w spokojnej dzielnicy |
| 2684 | Władysława Jagiełły | Gdańsk | pomorskie | Mieszkanie w dobrej cenie |
| 2685 | Władysława Jagiełły | Gdańsk | pomorskie | Interesujące 3 pokoje |
| 2732 | ul. Tatarczana | Gdynia | pomorskie | Na sprzedaż 3 pokojowe mieszkanie 54.7 w Gdyni |
| 2932 | Hugo Kołłątaja | Gdańsk | pomorskie | Gdańsk Wrzeszcz / fenomenalna przestrzeń |
| 3076 | Nauczycielska | Gdynia | pomorskie | Mieszkanie na parterze. Witomino |
| 3079 | Władysława Łokietka | Sopot | pomorskie | propozycja dla inwestora| 2 apartamenty w Sopocie |
| 3088 | Dębowa | Sopot | pomorskie | Piękny apartament w Sopocie Dolnym! |
| 3090 | Antoniego Abrahama | Sopot | pomorskie | Lokal Użytkowy Przekształcony Na Hostel |
| 3103 | Władysława Łokietka | Sopot | pomorskie | Cudowny apartament blisko Morza! |
| 3132 | Oskara Kolberga | Sopot | pomorskie | Jasne mieszkanie z widokiem na morze |
| 3160 | Alfonsa Chmielewskiego | Sopot | pomorskie | Mieszkanie w Sopocie z możliwością adapt. strychu |
| 3227 | Książąt Pomorskich | Sopot | pomorskie | Atrakcyjne 4-pok w Dolnym Sopocie - 500m od morza! |
| 3273 | Oskara Kolberga | Sopot | pomorskie | Kawalerka - 20% teraz reszta w przyszłym roku! |
| 3298 | Świętojańska | Gdynia | pomorskie | Mieszkanie po remoncie 500 metrów od plaży |
| 3369 | inż. J. Śmidowicza | Gdańsk | pomorskie | ustawne z Tarasem blisko z widokiem na las! |
| 3370 | Podgórska | Gdynia | pomorskie | Mieszkanie z widokiem na bazę promową Stena line |
| 3371 | Ikara | Gdynia | pomorskie | Zadbane mieszkanie z garażem 200 metrów od plaży |
| 3538 | Stylowa | Gdańsk | pomorskie | Przytulne mieszkanie dla rodziny |
| 3546 | Gospody | Gdańsk | pomorskie | 3 Pokoje/ Gdańsk Żabianka/ 8Min Do Plaży |
| 3558 | Chylońska | Gdynia | pomorskie | Nietuzinkowe 3 pokojowe mieszkanie w Gdyni |
| 3564 | Pomorska | Gdańsk | pomorskie | Kawalerka 31m2/na 2 pok Żabianka Tylko U Nas |
| 3576 | Kłajpedzka | Gdynia | pomorskie | Gdynia - apartament 177m w znakomitej cenie |
| 3672 | Władysława Łokietka | Sopot | pomorskie | 4 pokojowe mieszkanie w Sopocie. |
| 3674 | Władysława Łokietka | Sopot | pomorskie | Luksusowy apartament w Sopocie z sauną i siłownią |
| 3709 | Swarzewska | Gdynia | pomorskie | Gdynia Chylonia 2 Pokoje, Balkon, 46M2 ! |
| 3815 | ul. Władysława Łokietka 55i | Sopot | pomorskie | Apartamenty blisko plaży - z klimatyzacją 05 |
| 3823 | Aleja Iberyjska | Gdynia | pomorskie | Apartament Pogórze, Gdynia |
| 3858 | Borowikowa | Gdynia | pomorskie | Sprzedam Mieszkanie 3 Pok 60M2 W Gdyni -Słoneczne |
| 3884 | Stefana Okrzei | Sopot | pomorskie | 4 pokoje w Dolnym Sopocie |
| 3930 | Mazowiecka | Sopot | pomorskie | Piękne 2-pokojowe mieszkanie cisza i blisko centru |
| 3936 | Armii Krajowej | Sopot | pomorskie | Inwestycyjne dwa mieszkania - 5 pokoi |
| 3998 | Bosmańska | Gdynia | pomorskie | ostatnie mieszkania 2-pokojowe , Wyprzedaż |
| 4002 | ul. Władysława Łokietka 55i | Sopot | pomorskie | Apartamenty blisko plaży - z klimatyzacją 08 |
| 4007 | Pogodna | Gdynia | pomorskie | Idealne mieszkanie dla pary, singla i pod wynajem. |
| 4008 | Sokoła | Gdynia | pomorskie | Idealne Mieszkanie Dla Rodziny |
| 4025 | Bosmańska | Gdynia | pomorskie | Słoneczne z Tarasem blisko Bałtyku |
| 4026 | Bosmańska | Gdynia | pomorskie | Ostatnie takie mieszkanie z ogródkiem i garażem! P |
| 4030 | ul. 10 Lutego | Gdynia | pomorskie | Mieszkanie w inwestycji Bank Polski 1929, M55 |
| 4031 | ul. 10 Lutego | Gdynia | pomorskie | Mieszkanie w inwestycji Bank Polski 1929, M49 |
| 4032 | ul. 10 Lutego | Gdynia | pomorskie | Mieszkanie w inwestycji Bank Polski 1929, M54 |
| 4033 | ul. 10 Lutego | Gdynia | pomorskie | Mieszkanie w inwestycji Bank Polski 1929, M52 |
| 4034 | ul. 10 Lutego | Gdynia | pomorskie | Mieszkanie w inwestycji Bank Polski 1929, M39 |
| 4047 | ul. Bitwy pod Płowcami | Sopot | pomorskie | Apartament nad samym morzem Sopot |
| 4131 | Tadeusza Kościuszki | Sopot | pomorskie | Nowy apartament w willi 4 pokoje blisko plaży |
| 4138 | Mikołaja Reja | Sopot | pomorskie | Apartament 47M2 Na Kameralnym Osiedlu, Sopot Reja |
| 4161 | Niepodległości | Sopot | pomorskie | 75m2 pow. całkowitej, Roi na poziomie 9.5% ! |
| 4187 | Władysława Łokietka | Sopot | pomorskie | Gotowe mieszkania inwestycyjne blisko "Monciaka" |
| 4197 | 23 Marca | Sopot | pomorskie | 2 Apartamenty w Sopocie - inwestycja z super Roi |
| 4202 | Aleja Iberyjska | Gdynia | pomorskie | Apartament Pogórze, Gdynia |
| 4204 | Bohaterów Monte Cassino | Sopot | pomorskie | Apartament 69 m2 Sopot Monte Cassino |
| 4218 | Niepodległości | Sopot | pomorskie | Mieszkanie inwestycyjne w centrum Sopotu |
| 4274 | Stylowa | Gdańsk | pomorskie | Mieszkanie z ogrodem w super cenie. |
| 4311 | 23 Marca | Sopot | pomorskie | 3 pokoje + taras z widokiem na las |
| 4327 | Armii Krajowej | Sopot | pomorskie | Apartament 3 pok widok morze Aquarius Sopot |
| 4335 | Stylowa | Gdańsk | pomorskie | Dwupiętrowe mieszkanie w super cenie. |
| 4396 | Stylowa | Gdańsk | pomorskie | Mieszkanie - Gdańsk Borkowo |
| 4418 | Wielkokacka | Gdynia | pomorskie | Słoneczna kawalerka do zamieszkania od zaraz! |
| 4499 | Mikołaja Reja | Sopot | pomorskie | Ekskluzywny apartament Sopot 47m2 2 pokoje |
Jak widać, z uwagi na konwencję adresową osoby tworzącej ogłoszenie dane zostały przypisane do błędnych zmiennych. Dla błędnych rekordów zmienna miasto zostanie zasilona zmienną dzielnica oraz zmienna ulica zamieniona na zmienną miasto
In [17]:
# Skopiowanie ramki danych przed dalszymi działaniami
df_corrected = df.copy()
wrong_rows = ~df["miasto"].isin(["Gdańsk", "Gdynia", "Sopot"])
In [18]:
# Zamiana wartości kolumn
df_corrected.loc[wrong_rows, ["ulica"]] = df_corrected.loc[wrong_rows, "miasto"]
df_corrected.loc[wrong_rows, ["miasto"]] = df_corrected.loc[wrong_rows, "dzielnica"]
# Wstawienie wartości nan dla zmiennej "dzielnica" błędnych rekordów
df_corrected.loc[wrong_rows, "dzielnica"] = np.nan
# Sprawdzenie unikalnych wartości zmiennej "miasto"
df_corrected["miasto"].value_counts()
Out[18]:
Gdańsk 2756 Gdynia 1383 Sopot 396 Name: miasto, dtype: int64
In [19]:
# Skopiowanie ramki danych przed dalszymi działaniami
df_corrected_with_districts = df_corrected.copy()
In [20]:
# Indeksy rekordów posiadających pustą wartość dla zmiennej dzielnica i jednocześnie posiadających zmienną ulica
missing_district_index = df_corrected_with_districts["dzielnica"].isna() & ~df_corrected_with_districts["ulica"].isna()
# Zgeokoduj adres by uzyskać informacje o dzielnicy i uzupełnij dwie zmienne tymczasowe "dzielnica_temp_1", "dzielnica_temp_2"
df_corrected_with_districts["dzielnica_temp_1"] = np.nan
df_corrected_with_districts["dzielnica_temp_2"] = np.nan
In [ ]:
# Wykorzystując zmienne "miasto" i "ulica" zdekoduj lokalizację i pobierz wartości
# odpowiadające dzielnicy/rejonowi miasta z użyciem funkcji obtain_district
district_temp = df_corrected_with_districts.loc[
missing_district_index, ["miasto", "ulica"]].apply(obtain_district, axis=1, result_type="expand")
district_temp.columns = ["dzielnica_temp_1", "dzielnica_temp_2"]
df_corrected_with_districts.loc[missing_district_index, ["dzielnica_temp_1", "dzielnica_temp_2"]] = district_temp
In [ ]:
df_corrected_with_districts[missing_district_index]
W przypadku uzyskanych nazw dzielnic rekordy zawierają kombinację:
- osiedle\mniejsza część dzielnicy - dzielnica
- dzielnica - miasto
Zdecydowano się w przypadku wariantu 1 na wykorzystanie nazwy głównej dzielnicy - zmienna "dzielnica_temp_2". W przeciwnym przypadku brakującą zmienną "dzielnica" uzupełniono zmienną "dzielnica_temp_1".
In [ ]:
# Przygotowanie indeksów do uzupełnienia dzielnic
index_district_temp_2 = df_corrected_with_districts["dzielnica"].isna() & ~df_corrected_with_districts["ulica"].isna() & ~df_corrected_with_districts[missing_district_index]["dzielnica_temp_2"].isin(["Gdańsk", "Gdynia", "Sopot"])
index_district_temp_1 = df_corrected_with_districts["dzielnica"].isna() & ~df_corrected_with_districts["ulica"].isna() & df_corrected_with_districts[missing_district_index]["dzielnica_temp_2"].isin(["Gdańsk", "Gdynia", "Sopot"])
In [ ]:
# Uzupełnienie zmiennej dzielnice z wykorzystaniem jednej z dwóch wartości uzyskanej z geokodowania
df_corrected_with_districts.loc[index_district_temp_2, "dzielnica"] = df_corrected_with_districts.loc[index_district_temp_2, "dzielnica_temp_2"]
df_corrected_with_districts.loc[index_district_temp_1, "dzielnica"] = df_corrected_with_districts.loc[index_district_temp_1, "dzielnica_temp_1"]
In [ ]:
df_corrected_with_districts[missing_district_index]
In [ ]:
# Zapis zbioru do pliku CSV
df_corrected_with_districts.to_csv(outputs_path.joinpath("input_dataset_with_districts.csv"), encoding="windows-1250")
In [21]:
# Wczytaj rezultat z pliku CSV
df_corrected_with_districts = pd.read_csv(outputs_path.joinpath("input_dataset_with_districts.csv"),
encoding="windows-1250",
index_col=0,
dtype=dtypes)
3. Pobranie danych dodatkowych¶
In [22]:
# Skopiowanie ramki danych przed dalszymi działaniami
df_with_localisation = df_corrected_with_districts.copy()
In [23]:
# Usunięcie zmiennych tymczasowych "dzielnica_temp_1" oraz "dzielnica_temp_2"
df_with_localisation = df_with_localisation.drop(columns=["dzielnica_temp_1", "dzielnica_temp_2"])
W celu wizulizacji danych przestrzennych jakimi są oferty zakupu nieruchomości niezbędne jest geokodowanie adresów by uzyskać współrzędne geograficzne.
In [ ]:
# Wybór indeksów dla rekordów posiadających zmienną "miasto" i "ulica"
missing_city_street_index = ~df_corrected_with_districts["miasto"].isna() & ~df_corrected_with_districts["ulica"].isna()
# Współrzędne każdej z nieruchomości będzie pobrana wykorzystując Google API obudowane w funkcji obtain_localisation
localisation_results = df_with_localisation.loc[missing_city_street_index, ["miasto", "ulica"]].\
apply(obtain_localisation, axis=1, result_type="expand")
localisation_results.columns = ["latitude", "longitude"]
In [ ]:
# Wstawienie informacji o współrzędnych do głównej ramki danych
df_with_localisation.loc[missing_city_street_index, ["latitude", "longitude"]] = localisation_results.loc[:, ["latitude", "longitude"]]
In [ ]:
# Zapisz rezultat do pliku CSV
df_with_localisation.to_csv(outputs_path.joinpath("input_dataset_with_localisation.csv"), encoding="windows-1250")
In [24]:
# Wczytaj rezultat z pliku CSV
df_with_localisation = pd.read_csv(outputs_path.joinpath("input_dataset_with_localisation.csv"),
encoding="windows-1250",
index_col=0,
dtype=dtypes)
In [25]:
# Sprawdzenie liczby rekordów dla których udało się pozyskać współrzędne
df_with_localisation["latitude"].isna().value_counts()
Out[25]:
False 3622 True 913 Name: latitude, dtype: int64
In [26]:
# Sprawdzenie brakujących wartości dla każdej ze zmiennych
df_with_localisation.isna().sum()
Out[26]:
id 0 id_offers 0 miasto 0 dzielnica 83 ulica 911 tytul 0 powierzchnia 0 cena 0 cena_metr 0 liczba_pokoi 0 rynek 0 zabudowa 997 pietro 15 liczba_pieter 133 material_budynku 2773 okna 3066 ogrzewanie 1165 rok_budowy 567 stan_wykonczenia 884 czynsz 2433 forma_wlasnosci 1056 numer_oferty 0 teren_zamkniety 0 balkon 0 ogrodek 0 garaz_miejsce 0 winda 0 piwnica 0 monitoring_ochrona 0 latitude 913 longitude 913 dtype: int64
Z uwagi na stosunkowo mały udział brakujących wartości dla zmiennej dzielnica, pietro i liczba_pieter zdecydowano się na usunięcie danych rekordów.
Z uwagi na znaczny udział braku danych - ponad 50 % rekordów - zdecydowano się na odrzucenie zmiennych material_budynku, okna oraz czynsz.
In [27]:
# Skopiowanie ramki danych przed dalszymi działaniami
df_with_localisation_cleaned = df_with_localisation.copy()
# Wybór indeksów rekordów zawierających puste wartości dla zmiennych "dzielnica", "pietro", "liczba_pieter"
# oraz usunięcie rekordów które zawierają puste wartości dla tych zmiennych
missing_pietro_liczba_pieter_index = df_with_localisation_cleaned["dzielnica"].isna() \
| df_with_localisation_cleaned["pietro"].isna() | \
df_with_localisation_cleaned["liczba_pieter"].isna()
df_with_localisation_cleaned = df_with_localisation_cleaned[~missing_pietro_liczba_pieter_index]
# Usunięcie zmiennych "material_budynku", "okna", "czynsz"
df_with_localisation_cleaned = df_with_localisation_cleaned.drop(columns=["material_budynku", "okna", "czynsz"], axis=1)
In [28]:
# Liczba brakujących wartości dla poszczególnych zmiennych
df_with_localisation_cleaned.isna().sum()
Out[28]:
id 0 id_offers 0 miasto 0 dzielnica 0 ulica 803 tytul 0 powierzchnia 0 cena 0 cena_metr 0 liczba_pokoi 0 rynek 0 zabudowa 954 pietro 0 liczba_pieter 0 ogrzewanie 1088 rok_budowy 492 stan_wykonczenia 820 forma_wlasnosci 984 numer_oferty 0 teren_zamkniety 0 balkon 0 ogrodek 0 garaz_miejsce 0 winda 0 piwnica 0 monitoring_ochrona 0 latitude 805 longitude 805 dtype: int64
W kontekście lokalizacji nieruchomości istotny jest czas dojazdu do określonych punktów. Jako cel codziennych podróży wybrano kompleks Olivia Business Centre. Korzystając z Google API w funkcjach obtain_travel_info_driving i obtain_travel_info_transit zdecydowano się na sprawdzenie czasu dojazdu oraz dystansu dla podróży w poniedziałek z przybyciem do miejsca docelowego o godzinie 8.
Wartości sprawdzono zarówno dla podróży samochodem osobowym jak i transportem zbiorowym.
In [ ]:
# Pobranie danych o czasie podróży i dystansie do tymczasowej ramki danych travel_info_results_driving
travel_info_result_driving = df_with_localisation_cleaned.loc[:, ["miasto", "dzielnica", "ulica"]].apply(obtain_travel_info_driving, axis=1, result_type="expand")
travel_info_results_driving.columns = ["czas_auto", "dystans_auto"]
In [ ]:
# Pobranie danych o czasie podróży i dystansie do tymczasowej ramki danych travel_info_results_transit
travel_info_result_transit = df_with_localisation_cleaned.loc[:, ["miasto", "dzielnica", "ulica"]].apply(obtain_travel_info_transit, axis=1, result_type="expand")
travel_info_results_transit.columns = ["czas_zbiorowy", "dystans_zbiorowy"]
In [ ]:
# Zasilenie głównej ramki danych nowo utworzonymi zmiennymi
df_with_localisation_cleaned.loc[:, ["czas_auto", "dystans_auto"]] = travel_info_results.loc[:, ["czas_auto", "dystans_auto"]]
df_with_localisation_cleaned.loc[:, ["czas_zbiorowy", "dystans_zbiorowy"]] = travel_info_results.loc[:, [
"czas_zbiorowy", "dystans_zbiorowy"]]
In [29]:
# Wyświetlenie podglądu ramki danych
df_with_localisation_cleaned.head()
Out[29]:
| id | id_offers | miasto | dzielnica | ulica | tytul | powierzchnia | cena | cena_metr | liczba_pokoi | rynek | zabudowa | pietro | liczba_pieter | ogrzewanie | rok_budowy | stan_wykonczenia | forma_wlasnosci | numer_oferty | teren_zamkniety | balkon | ogrodek | garaz_miejsce | winda | piwnica | monitoring_ochrona | latitude | longitude | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 1 | Gdańsk | Osowa | ul. Homera | Wygodne mieszkanie 3-pokojowe (41,75 m2) z ogrodem | 41.750 | 309000 | 7401.000 | 3 | pierwotny | blok | parter | 2.000 | miejskie | 2020.000 | do_wykonczenia | pelna_wlasnosc | 60942989 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 54.419 | 18.485 |
| 1 | 2 | 2 | Gdańsk | Ujeścisko-Łostowice | ul. Świętokrzyska | Idealne, nowe mieszkanie 2 pokojowe | 46.600 | 415000 | 8906.000 | 2 | wtorny | blok | 2 | 2.000 | miejskie | 2018.000 | do_zamieszkania | pelna_wlasnosc | 60831045 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 54.319 | 18.591 |
| 2 | 3 | 3 | Gdańsk | Śródmieście | Wałowa | 2 pokoje w centrum Gdańska w niskiej cenie | 33.800 | 313000 | 9260.000 | 2 | pierwotny | apartamentowiec | 4 | 5.000 | miejskie | 2020.000 | do_wykonczenia | pelna_wlasnosc | 60933557 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 54.358 | 18.655 |
| 3 | 4 | 4 | Gdynia | Dąbrowa | Sojowa | Gdynia Dąbrowa Idealna Lokalizacja 2 pokoje, aneks | 42.000 | 249000 | 5929.000 | 2 | wtorny | blok | 3 | 3.000 | miejskie | 1994.000 | do_zamieszkania | pelna_wlasnosc | 60783576 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54.471 | 18.470 |
| 4 | 5 | 5 | Gdynia | Dąbrowa | NaN | Kameralne bezpieczne w zieleni garaż 30m2 kominek | 132.000 | 1120000 | 8485.000 | 4 | wtorny | apartamentowiec | 1 | 2.000 | gazowe | 2018.000 | do_zamieszkania | pelna_wlasnosc | 60949737 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | nan | nan |
Sprawdzenie wartości unikalnych dla dzielnic każdego z miast.
In [30]:
sorted(df_with_localisation_cleaned[df_with_localisation_cleaned["miasto"] == "Gdańsk"]["dzielnica"].unique())
Out[30]:
['Aniołki', 'Biskupia Górka', 'Brzeźno', 'Brętowo', 'Chełm', 'Jasień', 'Jelitkowo', 'Karczemki', 'Kiełpinek', 'Kiełpino Górne', 'Kokoszki', 'Kowale', 'Krakowiec-Górki Zachodnie', 'Letnica', 'Matarnia', 'Nowe Ujeścisko', 'Nowy Port', 'Oliwa', 'Olszynka', 'Orunia Górna-Gdańsk Południe', 'Orunia-Św. Wojciech-Lipce', 'Osowa', 'Piecki-Migowo', 'Przeróbka', 'Przymorze', 'Rudniki', 'Siedlce', 'Stogi', 'Suchanino', 'Ujeścisko-Łostowice', 'Wrzeszcz', 'Wrzeszcz Górny', 'Wyspa Sobieszewska', 'Zaspa', 'Zaspa-Młyniec', 'Śródmieście', 'Żabianka', 'Żabianka-Wejhera-Jelitkowo-Tysiąclecia']
Analizując unikalne wartości dzielnic Gdańska zdecydowano się na ujednolicenie nazw dla następujących dzielnic:
- Żabianka i Żabianka-Wejhera-Jelitkowo-Tysiąclecia - na Żabianka
- Wrzeszcz i Wrzeszcz Górny - na Wrzeszcz
- Zaspa i Zaspa-Młyniec - na Zaspa
- Nowe Ujeścisko na Wzgórze Mickiewicza
In [31]:
sorted(df_with_localisation_cleaned[df_with_localisation_cleaned["miasto"] == "Gdynia"]["dzielnica"].unique())
Out[31]:
['Babie Doły', 'Chwarzno-Wiczlino', 'Chylonia', 'Cisowa', 'Działki Leśne', 'Dąbrowa', 'Grabówek', 'Kamienna Góra', 'Karwiny', 'Leszczynki', 'Mały Kack', 'Obłuże', 'Oksywie', 'Orłowo', 'Pogórze', 'Pustki Cisowskie', 'Pustki Cisowskie-Demptowo', 'Redłowo', 'Wielki Kack', 'Witomino', 'Witomino-Leśniczówka', 'Wzgórze Św. Maksymiliana', 'Wzgórze Świętego Maksymiliana', 'Śródmieście']
Analizując unikalne wartości dzielnic Gdyni zdecydowano się na ujednolicenie nazw dla następujących dzielnic:
- Witomino i Witomino - Leśniczówka na Witomino
- Wzgórze Św. Maksymiliana i Wzgórze Świętego Maksymiliana na Wzgórze Św. Maksymiliana
In [32]:
sorted(df_with_localisation_cleaned[df_with_localisation_cleaned["miasto"] == "Sopot"]["dzielnica"].unique())
Out[32]:
['Brodwino', 'Centrum', 'Dolny', 'Górny', 'Kamienny Potok', 'Karlikowo', 'Oliwa', 'Osiedle Mickiewicza', 'Przylesie', 'Sopot Dolny', 'Wyścigi', 'województwo pomorskie', 'Świemirowo']
Analizując unikalne wartości dzielnic Sopotu zdecydowano się na ujednolicenie nazw dla następujących dzielnic:
- Górny i Osiedle Mickiewicza na Górny
Dodatkowo okazło się, że występują wartości "województwo pomorskie"
In [33]:
df_with_localisation_cleaned[df_with_localisation_cleaned["dzielnica"] == "województwo pomorskie"]
Out[33]:
| id | id_offers | miasto | dzielnica | ulica | tytul | powierzchnia | cena | cena_metr | liczba_pokoi | rynek | zabudowa | pietro | liczba_pieter | ogrzewanie | rok_budowy | stan_wykonczenia | forma_wlasnosci | numer_oferty | teren_zamkniety | balkon | ogrodek | garaz_miejsce | winda | piwnica | monitoring_ochrona | latitude | longitude | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1708 | 1709 | 2048 | Sopot | województwo pomorskie | Władysława Łokietka | Apartament z własnym ogródkiem blisko morza | 71.500 | 1150000 | 16084.000 | 4 | wtorny | NaN | parter | 3.000 | NaN | 2012.000 | do_zamieszkania | pelna_wlasnosc | 60842868 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54.430 | 18.574 |
| 2554 | 2555 | 3038 | Sopot | województwo pomorskie | Władysława Łokietka | Super inwestycja, dwa mieszkania w cenie jednego | 71.500 | 1150000 | 16084.000 | 4 | wtorny | apartamentowiec | parter | 3.000 | NaN | 2012.000 | NaN | NaN | 60888519 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 54.430 | 18.574 |
| 3078 | 3079 | 3637 | Sopot | województwo pomorskie | Władysława Łokietka | propozycja dla inwestora| 2 apartamenty w Sopocie | 71.100 | 1370000 | 19269.000 | 2 | wtorny | apartamentowiec | parter | 3.000 | miejskie | 2013.000 | do_zamieszkania | pelna_wlasnosc | 59321471 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 54.430 | 18.574 |
| 3102 | 3103 | 3664 | Sopot | województwo pomorskie | Władysława Łokietka | Cudowny apartament blisko Morza! | 101.700 | 1439000 | 14149.000 | 3 | wtorny | apartamentowiec | 3 | 3.000 | miejskie | 2012.000 | do_zamieszkania | pelna_wlasnosc | 60168970 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 54.430 | 18.574 |
| 3671 | 3672 | 4035 | Sopot | województwo pomorskie | Władysława Łokietka | 4 pokojowe mieszkanie w Sopocie. | 95.620 | 1160000 | 12131.000 | 4 | wtorny | NaN | 1 | 2.000 | NaN | 2004.000 | do_zamieszkania | pelna_wlasnosc | 60739230 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 54.430 | 18.574 |
| 3673 | 3674 | 4037 | Sopot | województwo pomorskie | Władysława Łokietka | Luksusowy apartament w Sopocie z sauną i siłownią | 77.000 | 1390000 | 18052.000 | 3 | wtorny | apartamentowiec | 1 | 3.000 | miejskie | 2007.000 | do_zamieszkania | pelna_wlasnosc | 60110487 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 54.430 | 18.574 |
| 4186 | 4187 | 4584 | Sopot | województwo pomorskie | Władysława Łokietka | Gotowe mieszkania inwestycyjne blisko "Monciaka" | 72.000 | 1150000 | 15972.000 | 4 | wtorny | apartamentowiec | parter | 4.000 | miejskie | 2011.000 | do_zamieszkania | pelna_wlasnosc | 60783133 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 54.430 | 18.574 |
Wyfiltrowane rekordy odpowiadają dzielnicy Karlikowo, która zostanie do nich przyporządkowana.
In [34]:
# Zamiana wspomnianych wyżej nazw dzielnic
district_names_mapping = {"Żabianka-Wejhera-Jelitkowo-Tysiąclecia": "Żabianka",
"Wrzeszcz Górny": "Wrzeszcz",
"Witomino-Leśniczówka": "Witomino",
"Wzgórze Świętego Maksymiliana": "Wzgórze Św. Maksymiliana",
"Osiedle Mickiewicza": "Górny",
"województwo pomorskie": "Karlikowo",
"Nowe Ujeścisko": "Wzgórze Mickiewicza",
"Zaspa-Młyniec": "Zaspa",
"Pustki Cisowskie-Demptowo": "Pustki Cisowskie"
}
df_with_localisation_cleaned["dzielnica"] = df_with_localisation_cleaned["dzielnica"].map(district_names_mapping).\
fillna(df_with_localisation_cleaned["dzielnica"])
In [ ]:
# Zapisz rezultat do pliku CSV
df_with_localisation_cleaned.to_csv(outputs_path.joinpath("input_dataset_with_localisation_cleaned.csv"),
encoding="windows-1250")
In [35]:
# Wczytaj rezultat z pliku CSV
df_with_localisation_cleaned = pd.read_csv(outputs_path.joinpath("input_dataset_with_localisation_cleaned.csv"),
encoding="windows-1250",
index_col=0)
4. EDA¶
In [36]:
# Wyświetl podstawowe informacje o zbiorze
df_with_localisation_cleaned.info()
<class 'pandas.core.frame.DataFrame'> Int64Index: 4315 entries, 0 to 4534 Data columns (total 32 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 id 4315 non-null int64 1 id_offers 4315 non-null int64 2 miasto 4315 non-null object 3 dzielnica 4315 non-null object 4 ulica 3514 non-null object 5 tytul 4315 non-null object 6 powierzchnia 4315 non-null float64 7 cena 4315 non-null int64 8 cena_metr 4315 non-null float64 9 liczba_pokoi 4315 non-null int64 10 rynek 4315 non-null object 11 zabudowa 3361 non-null object 12 pietro 4315 non-null object 13 liczba_pieter 4315 non-null float64 14 ogrzewanie 3227 non-null object 15 rok_budowy 3823 non-null float64 16 stan_wykonczenia 3495 non-null object 17 forma_wlasnosci 3332 non-null object 18 numer_oferty 4315 non-null int64 19 teren_zamkniety 4315 non-null int64 20 balkon 4315 non-null int64 21 ogrodek 4315 non-null int64 22 garaz_miejsce 4315 non-null int64 23 winda 4315 non-null int64 24 piwnica 4315 non-null int64 25 monitoring_ochrona 4315 non-null int64 26 latitude 3512 non-null float64 27 longitude 3512 non-null float64 28 czas_auto 4315 non-null float64 29 dystans_auto 4315 non-null float64 30 czas_zbiorowy 4291 non-null float64 31 dystans_zbiorowy 4291 non-null float64 dtypes: float64(10), int64(12), object(10) memory usage: 1.1+ MB
In [37]:
variable_name = "liczba_pokoi"
fig = create_bar_plot(df=df_with_localisation_cleaned, variable_name=variable_name, variable_label="Liczba pokoi")
fig.show()
print(f"Ilość pustych wartości dla zmiennej {variable_name}: {df_with_localisation_cleaned[variable_name].isna().sum()}")
Ilość pustych wartości dla zmiennej liczba_pokoi: 0
Jak można zauważyć, najpopularniejszym układem oferowanych nieruchomości są te 2 i 3 pokojowe.
In [38]:
variable_name = "rynek"
fig = create_bar_plot(df=df_with_localisation_cleaned, variable_name=variable_name, variable_label="Typ rynku")
fig.show()
print(f"Ilość pustych wartości dla zmiennej {variable_name}: {df_with_localisation_cleaned[variable_name].isna().sum()}")
Ilość pustych wartości dla zmiennej rynek: 0
Zdecydowana większość ofert dotyczy nieruchomości z rynku wtórnego.
In [39]:
variable_name = "zabudowa"
fig = create_bar_plot(df=df_with_localisation_cleaned, variable_name=variable_name, variable_label="Typ zabudowy")
fig.show()
print(f"Ilość pustych wartości dla zmiennej {variable_name}: {df_with_localisation_cleaned[variable_name].isna().sum()}")
Ilość pustych wartości dla zmiennej zabudowa: 954
Najpopularniejszym typem zabudowy wśród ofert są nieruchomości będące częścią bloku mieszkalnego i apartamentowca. Nieruchomości stanowiące niezależne budynki stanowią jedynie odsetek. Dla zmiennej "zabudowa" występuje ponad 900 brakujących wartości.
In [40]:
variable_name = "pietro"
categories_orders_dict = {"index": ["parter", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", ">_10", "suterena", "poddasze"]}
fig = create_bar_plot(df=df_with_localisation_cleaned, variable_name=variable_name, variable_label="Piętro", categories=True,category_orders=categories_orders_dict)
fig.show()
print(f"Ilość pustych wartości dla zmiennej {variable_name}: {df_with_localisation_cleaned[variable_name].isna().sum()}")
Ilość pustych wartości dla zmiennej pietro: 0
Najczęstszymi typami nieruchomości są te znajdujące się na piętrach 0 - 3, przy czym nieruchomości na pierwszym piętrze występują najczęściej. Wraz ze wzrostem piętra, na jakim znajduje się nieruchomość, maleje liczba ofert.
In [41]:
variable_name = "liczba_pieter"
fig = create_bar_plot(df=df_with_localisation_cleaned, variable_name=variable_name, variable_label="Liczba pięter")
fig.show()
print(f"Ilość pustych wartości dla zmiennej {variable_name}: {df_with_localisation_cleaned[variable_name].isna().sum()}")
Ilość pustych wartości dla zmiennej liczba_pieter: 0
Zdecydowanie najczęściej występującym typem budynków są budynki 3 i 4 piętrowe. Wyróżniają się również budynki 2 piętrowe (przypuszczalnie kamienice) oraz 10 piętrowe (np. zabudowa wielomieszkalna na Przymorzu)
In [42]:
variable_name = "ogrzewanie"
fig = create_bar_plot(df=df_with_localisation_cleaned, variable_name=variable_name, variable_label="Typ zabudowy")
fig.show()
print(f"Ilość pustych wartości dla zmiennej {variable_name}: {df_with_localisation_cleaned[variable_name].isna().sum()}")
Ilość pustych wartości dla zmiennej ogrzewanie: 1088
Najczęstszym typem centralnego ogrzewania jest ogrzewanie miejskie. Dla zmiennej ogrzewanie występuje aż 1088 brakujących wartości.
In [43]:
variable_name = "rok_budowy"
min_value = int(df_with_localisation_cleaned[variable_name].min())
max_value = int(df_with_localisation_cleaned[variable_name].max()) + 1
fig = create_bar_plot(df=df_with_localisation_cleaned, variable_name=variable_name, variable_label="Rok budowy", categories=True, category_orders={"index": list(range(min_value, max_value))})
fig.show()
print(f"Ilość pustych wartości dla zmiennej {variable_name}: {df_with_localisation_cleaned[variable_name].isna().sum()}")
Ilość pustych wartości dla zmiennej rok_budowy: 492
Analziując rok budowy nieruchomości można wyróżnić 3 grupy:
- budynki zabytkowe zbudowane przed 1950 rokiem
- budynki zbudowane w okresie PRL tzw. wielka płyta - lata 60 - 80
- budynki zbudowane po roku 2000 - z największą ilością ofert dla roku budowy 2020
Blisko 400 ofert dotyczy budynków, które są dopiero w budowie - rok budowy późniejszy niż 2020.
Dla 492 rekordów wsytępuje brak wartości dla zmiennej "rok_budowy".
In [44]:
variable_name = "stan_wykonczenia"
fig = create_bar_plot(df=df_with_localisation_cleaned, variable_name=variable_name, variable_label="Stan wykończenia")
fig.show()
print(f"Ilość pustych wartości dla zmiennej {variable_name}: {df_with_localisation_cleaned[variable_name].isna().sum()}")
Ilość pustych wartości dla zmiennej stan_wykonczenia: 820
Najwięcej ofert dotyczy nieruchomości gotowych do zamieszkania. Grupa "do_wykończenia" może dotyczyć głównie nieruchomości z rynku pierwotnego. Dla zmiennej "stan_wyknonczenia" wykryto 820 brakujących wartości
In [45]:
variable_name = "forma_wlasnosci"
fig = create_bar_plot(df=df_with_localisation_cleaned, variable_name=variable_name, variable_label="Forma własności")
fig.show()
print(f"Ilość pustych wartości dla zmiennej {variable_name}: {df_with_localisation_cleaned[variable_name].isna().sum()}")
Ilość pustych wartości dla zmiennej forma_wlasnosci: 983
In [46]:
for feature in ["teren_zamkniety",
"balkon",
"ogrodek",
"garaz_miejsce",
"winda",
"piwnica",
"monitoring_ochrona"]:
variable_name = feature
fig = create_bar_plot(df=df_with_localisation_cleaned, variable_name=variable_name, variable_label=feature.capitalize())
fig.show()
Zmienne kategoryczne:
- zdedydowana większość nieruchomości dotyczy nieruchomości nie będących częścią zamkniętego osiedla
- nieruchmości posiadające balkon stanowią 60 %
- blisko 500 nieruchomości posiada dostęp do ogródka
- żadna z ofert nie zawierała informacji o dostępie do garażu / miejsca postojowego - być może jest to wynikiem błędu w procesie pobierania danych ze strony
- ponad 60 % nieruchomości nie znajduje się w budynku, który jest wyposażony w windę
- występowanie informacji o przynależności piwnicy stanowi 50 % ogłoszeń
- blisko 25 % nieruchomości nie posiada monitoringu czy ochrony
In [47]:
for feature in ["powierzchnia", "cena", "cena_metr", "czas_auto", "czas_zbiorowy", "dystans_auto", "dystans_zbiorowy"]:
fig = plt.figure(figsize=(16,8))
sns.histplot(data=df_with_localisation_cleaned, x=feature)
plt.plot()
fig = plt.figure(figsize=(16,8))
sns.boxplot(data=df_with_localisation_cleaned, y=feature)
plt.plot()
Dzięki wykresom boxplot można zauważyć obserwacje odstające w skali całego zbioru. Są to nieruchomości o powierzchni powyżej 120 metrów kwadratowych i cenie za metr 20000. Analizując wykres boxplot oraz histogram dla zmiennej cena, można zauważyć kilka bardzo wysokich ofert - w tym oferta z ceną 16 milionów złotych.
In [48]:
for category in ["rynek", "ogrzewanie", "winda", "balkon", "ogrodek", "piwnica", "monitoring_ochrona", "stan_wykonczenia", "teren_zamkniety"]:
fig = plt.figure(figsize=(16,8))
sns.boxplot(y=df_with_localisation_cleaned["cena_metr"], x=df_with_localisation_cleaned[category])
plt.plot()
Po wykresach pudełkowych wskazujących wartość zmiennej celu cena_metr oraz rozdział na kategorie:
- średnia cena za metr jest wyższa dla nieruchomości z rynku wtórnego
- mimo różnego typu ogrzewania - średnia cena za metr oscyluje wokół tej samej wartości - ok 9000 zł.
- średnia cena za metr jest wyższa dla nieruchomości posiadających informację o dostępie do windy
- minimalnie niższą cenę za metr posiadają nieruchomości bez balkonu
- nieruchomości, w których ofercie wspomniano o monitoringu/ochronie mają wyższą cenę za cena_metr
- najwyższą średnią cenę za metr posiadają nieruchomości gotowe do zamieszkania. Najniższą średnią cenę za cena_metr wykazują nieruchomości przeznaczone do remontu.
- zdecydowanie wyższą średnią cenę za metr posiadają nieruchomości, w których ofercie poinformowano o terenie zamkniętym.
In [49]:
fig = go.Figure(ff.create_hexbin_mapbox(
data_frame=df_with_localisation_cleaned, lat="latitude", lon="longitude",
nx_hexagon=25, opacity=0.8, zoom=9.4,
labels={"color": "Średnia cena za metr"},
color="cena_metr", agg_func=np.mean, color_continuous_scale="Teal",
show_original_data=True,
original_data_marker=dict(size=4, opacity=0.7, color="black")
))
fig.update_layout(mapbox_style="stamen-terrain", mapbox_center_lon=18.555, mapbox_center_lat=54.441)
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
Najwyższa cena za metr występuje w rejonach stanowiących centrum miast Gdańsk, Gdynia, Sopot. Wyższa cena za metr wiąże się równiez z położeniem w pasie nadmorskim.
In [50]:
fig = go.Figure(ff.create_hexbin_mapbox(
data_frame=df_with_localisation_cleaned, lat="latitude", lon="longitude",
nx_hexagon=25, opacity=0.8, zoom=9.4,
labels={"color": "Czas dojazdu do OBC - transport prywatny [s]"},
color="czas_auto", agg_func=np.mean, color_continuous_scale="Reds"
))
fig.update_layout(mapbox_style="stamen-terrain", mapbox_center_lon=18.555, mapbox_center_lat=54.441)
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
Czas dojazdu do kompleksu biurowego Olivia Business Centre najkorzystniej prezentuje się dla dzielnic przylegających do dzielnicy Przymorze - ok 10-12 min.
Czas przejazdu z południowych dzielnic miasta jest porównywalny do czasu dojazdu z wybranych dzielnic Gdyni.
In [51]:
fig = go.Figure(ff.create_hexbin_mapbox(
data_frame=df_with_localisation_cleaned, lat="latitude", lon="longitude",
nx_hexagon=25, opacity=0.8, zoom=9.4,
labels={"color": "Czas dojazdu do OBC - transport zbiorowy [s]"},
color="czas_zbiorowy", agg_func=np.mean, color_continuous_scale="Reds"
))
fig.update_layout(mapbox_style="stamen-terrain", mapbox_center_lon=18.555, mapbox_center_lat=54.441)
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
Porównując czas dojazdu samochodem z czasem dojazdu korzystając z transportu zbiorowego można zauważyć problem dostępności południowych dzielnic Gdańska oraz Wyspy Sobieszewskiej.
In [52]:
fig = go.Figure(px.scatter_mapbox(df_with_localisation_cleaned,
lat="latitude",
lon="longitude",
color="cena_metr",
size="powierzchnia",
opacity=1,
color_continuous_scale="Reds",
size_max=15,
zoom=9.4,
labels={"cena_metr": "Średnia cena za metr", "powierzchnia": "Powierzchnia"}))
fig.update_layout(mapbox_style="stamen-terrain", mapbox_center_lon=18.555, mapbox_center_lat=54.441)
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
Najdroższą nieruchomością (cena za metr) jest nieruchomosć przy ulicy Orłowskiej w Gdyni, natomiast największą powierzchnię, jednocześnie z bardzo wysoką ceną za metr, charakteryzuje się nieruchomość w Śródmieściu Gdyni, w pobliżu Skweru Kościuszki.
In [53]:
# Wyświetlenie podglądu ramki danych
df_with_localisation_cleaned.head()
Out[53]:
| id | id_offers | miasto | dzielnica | ulica | tytul | powierzchnia | cena | cena_metr | liczba_pokoi | rynek | zabudowa | pietro | liczba_pieter | ogrzewanie | rok_budowy | stan_wykonczenia | forma_wlasnosci | numer_oferty | teren_zamkniety | balkon | ogrodek | garaz_miejsce | winda | piwnica | monitoring_ochrona | latitude | longitude | czas_auto | dystans_auto | czas_zbiorowy | dystans_zbiorowy | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 1 | Gdańsk | Osowa | ul. Homera | Wygodne mieszkanie 3-pokojowe (41,75 m2) z ogrodem | 41.750 | 309000 | 7401.000 | 3 | pierwotny | blok | parter | 2.000 | miejskie | 2020.000 | do_wykonczenia | pelna_wlasnosc | 60942989 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 54.419 | 18.485 | 1036.000 | 10084.000 | 2414.000 | 11258.000 |
| 1 | 2 | 2 | Gdańsk | Ujeścisko-Łostowice | ul. Świętokrzyska | Idealne, nowe mieszkanie 2 pokojowe | 46.600 | 415000 | 8906.000 | 2 | wtorny | blok | 2 | 2.000 | miejskie | 2018.000 | do_zamieszkania | pelna_wlasnosc | 60831045 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 54.319 | 18.591 | 1553.000 | 12878.000 | 3685.000 | 16072.000 |
| 2 | 3 | 3 | Gdańsk | Śródmieście | Wałowa | 2 pokoje w centrum Gdańska w niskiej cenie | 33.800 | 313000 | 9260.000 | 2 | pierwotny | apartamentowiec | 4 | 5.000 | miejskie | 2020.000 | do_wykonczenia | pelna_wlasnosc | 60933557 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 54.358 | 18.655 | 929.000 | 8580.000 | 2354.000 | 8878.000 |
| 3 | 4 | 4 | Gdynia | Dąbrowa | Sojowa | Gdynia Dąbrowa Idealna Lokalizacja 2 pokoje, aneks | 42.000 | 249000 | 5929.000 | 2 | wtorny | blok | 3 | 3.000 | miejskie | 1994.000 | do_zamieszkania | pelna_wlasnosc | 60783576 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54.471 | 18.470 | 1430.000 | 13809.000 | 2837.000 | 17852.000 |
| 4 | 5 | 5 | Gdynia | Dąbrowa | NaN | Kameralne bezpieczne w zieleni garaż 30m2 kominek | 132.000 | 1120000 | 8485.000 | 4 | wtorny | apartamentowiec | 1 | 2.000 | gazowe | 2018.000 | do_zamieszkania | pelna_wlasnosc | 60949737 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | nan | nan | 1524.000 | 14737.000 | 1602.000 | 14053.000 |
5. Tworzenie i transformacja zmiennych¶
In [54]:
# Wskazanie kolumn, które nie będą wykorzystane podczas modelowania
columns_not_for_modelling = ["id", "id_offers",
"ulica", "tytul",
"latitude", "longitude",
"cena", "numer_oferty",
"garaz_miejsce"]
df_for_modelling = df_with_localisation_cleaned.drop(columns = columns_not_for_modelling, axis=1).copy()
In [55]:
# Podgląd ramki danych
df_for_modelling.head()
Out[55]:
| miasto | dzielnica | powierzchnia | cena_metr | liczba_pokoi | rynek | zabudowa | pietro | liczba_pieter | ogrzewanie | rok_budowy | stan_wykonczenia | forma_wlasnosci | teren_zamkniety | balkon | ogrodek | winda | piwnica | monitoring_ochrona | czas_auto | dystans_auto | czas_zbiorowy | dystans_zbiorowy | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Gdańsk | Osowa | 41.750 | 7401.000 | 3 | pierwotny | blok | parter | 2.000 | miejskie | 2020.000 | do_wykonczenia | pelna_wlasnosc | 0 | 0 | 1 | 1 | 0 | 0 | 1036.000 | 10084.000 | 2414.000 | 11258.000 |
| 1 | Gdańsk | Ujeścisko-Łostowice | 46.600 | 8906.000 | 2 | wtorny | blok | 2 | 2.000 | miejskie | 2018.000 | do_zamieszkania | pelna_wlasnosc | 0 | 1 | 0 | 1 | 1 | 1 | 1553.000 | 12878.000 | 3685.000 | 16072.000 |
| 2 | Gdańsk | Śródmieście | 33.800 | 9260.000 | 2 | pierwotny | apartamentowiec | 4 | 5.000 | miejskie | 2020.000 | do_wykonczenia | pelna_wlasnosc | 0 | 0 | 0 | 1 | 0 | 1 | 929.000 | 8580.000 | 2354.000 | 8878.000 |
| 3 | Gdynia | Dąbrowa | 42.000 | 5929.000 | 2 | wtorny | blok | 3 | 3.000 | miejskie | 1994.000 | do_zamieszkania | pelna_wlasnosc | 0 | 0 | 0 | 0 | 0 | 0 | 1430.000 | 13809.000 | 2837.000 | 17852.000 |
| 4 | Gdynia | Dąbrowa | 132.000 | 8485.000 | 4 | wtorny | apartamentowiec | 1 | 2.000 | gazowe | 2018.000 | do_zamieszkania | pelna_wlasnosc | 1 | 0 | 0 | 0 | 1 | 1 | 1524.000 | 14737.000 | 1602.000 | 14053.000 |
In [56]:
# Wyświetlenie podstawowych informacji o zbiorze
df_for_modelling.info()
<class 'pandas.core.frame.DataFrame'> Int64Index: 4315 entries, 0 to 4534 Data columns (total 23 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 miasto 4315 non-null object 1 dzielnica 4315 non-null object 2 powierzchnia 4315 non-null float64 3 cena_metr 4315 non-null float64 4 liczba_pokoi 4315 non-null int64 5 rynek 4315 non-null object 6 zabudowa 3361 non-null object 7 pietro 4315 non-null object 8 liczba_pieter 4315 non-null float64 9 ogrzewanie 3227 non-null object 10 rok_budowy 3823 non-null float64 11 stan_wykonczenia 3495 non-null object 12 forma_wlasnosci 3332 non-null object 13 teren_zamkniety 4315 non-null int64 14 balkon 4315 non-null int64 15 ogrodek 4315 non-null int64 16 winda 4315 non-null int64 17 piwnica 4315 non-null int64 18 monitoring_ochrona 4315 non-null int64 19 czas_auto 4315 non-null float64 20 dystans_auto 4315 non-null float64 21 czas_zbiorowy 4291 non-null float64 22 dystans_zbiorowy 4291 non-null float64 dtypes: float64(8), int64(7), object(8) memory usage: 969.1+ KB
Z uwagi na dużą liczbę brakujących danych przy jednocześnie małej wariancji wartości zmiennych zabudowa, ogrzewanie oraz forma_wlasnosci zecydowano się je usunąć ze zbioru.
Dla zmiennych rok_budowy, stan_wykonczenia oraz czas_zbiorowy zecydowano się usunąć rekordy zawierające brakujące dane
In [57]:
# Odrzucenie zmiennych z dużą ilością brakujących wartości
df_for_modelling = df_for_modelling.drop(columns=["zabudowa", "ogrzewanie", "forma_wlasnosci"], axis=1)
# Wybór indeksów dla obserwacji, które posiaają braki danych dla wybranych zmiennych
missing_data_index = ~df_for_modelling["rok_budowy"].isna() & ~df_for_modelling["stan_wykonczenia"].isna() & \
~df_for_modelling["czas_zbiorowy"].isna()
# Usunięcie rekordów z pustymi wartościami
df_for_modelling = df_for_modelling[missing_data_index]
In [58]:
# Wyświetlenie podstawowych informacji o zbiorze
df_for_modelling.info()
<class 'pandas.core.frame.DataFrame'> Int64Index: 3151 entries, 0 to 4534 Data columns (total 20 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 miasto 3151 non-null object 1 dzielnica 3151 non-null object 2 powierzchnia 3151 non-null float64 3 cena_metr 3151 non-null float64 4 liczba_pokoi 3151 non-null int64 5 rynek 3151 non-null object 6 pietro 3151 non-null object 7 liczba_pieter 3151 non-null float64 8 rok_budowy 3151 non-null float64 9 stan_wykonczenia 3151 non-null object 10 teren_zamkniety 3151 non-null int64 11 balkon 3151 non-null int64 12 ogrodek 3151 non-null int64 13 winda 3151 non-null int64 14 piwnica 3151 non-null int64 15 monitoring_ochrona 3151 non-null int64 16 czas_auto 3151 non-null float64 17 dystans_auto 3151 non-null float64 18 czas_zbiorowy 3151 non-null float64 19 dystans_zbiorowy 3151 non-null float64 dtypes: float64(8), int64(7), object(5) memory usage: 517.0+ KB
In [59]:
# Tworzenie zmiennej wiek budynku - różnica między bieżącym rokiem a rokiem budowy,
# dla budynków w budowie oraz budynków tegorocznych wartość wynosi 0
def calculate_building_age(built_year):
year = datetime.datetime.now().year
if built_year > year:
built_year = year
return year - built_year
df_for_modelling["wiek_budynku"] = df_for_modelling["rok_budowy"].apply(calculate_building_age)
# Tworzennie zmiennej binarnej "w_budowie" dla daty budowy 2021 i później
df_for_modelling["w_budowie"] = df_for_modelling["rok_budowy"].apply(lambda x: 1 if (x > datetime.datetime.now().year) else 0)
# Usunięcie zmiennej źródłowej - rok_budowy
df_for_modelling = df_for_modelling.drop(columns="rok_budowy", axis=1)
In [60]:
# Tworzenie nowej zmiennej - dzielnica nadmorska na bazie nazw dzielnic sąsiadujących z pasem nadmorskim
districts_at_see = ['Brzeźno', 'Jelitkowo', 'Krakowiec-Górki Zachodnie', 'Przymorze', 'Stogi', 'Wyspa Sobieszewska',
'Babie Doły', 'Orłowo', 'Redłowo', 'Wzgórze Św. Maksymiliana', 'Śródmieście', 'Kamienna Góra', 'Oksywie',
'Karlikowo', 'Kamienny Pototok', 'Centrum', 'Dolny']
df_for_modelling["nad_morzem"] = df_for_modelling["dzielnica"].apply(lambda x: 1 if x in districts_at_see else 0)
df_for_modelling = df_for_modelling.drop(columns=["dzielnica"], axis=1)
In [61]:
# Enkodowanie zmiennej miasto oraz rynek z użyciem One Hot Encoder oraz usunięcie zmiennej oryginalnej
df_for_modelling = df_for_modelling.join(pd.get_dummies(df_for_modelling["miasto"]))
df_for_modelling = df_for_modelling.join(pd.get_dummies(df_for_modelling["rynek"], prefix="rynek"))
df_for_modelling = df_for_modelling.drop(columns="rynek_wtorny", axis=1)
df_for_modelling = df_for_modelling.join(pd.get_dummies(df_for_modelling["stan_wykonczenia"]))
df_for_modelling = df_for_modelling.drop(columns=["rynek", "miasto", "stan_wykonczenia"], axis=1)
In [62]:
# Zamiana wartości pietro na zmienną liczbową
dict_pietro = {"parter": 0, "suterena": 0, ">_10": 15}
df_for_modelling["pietro"] = df_for_modelling["pietro"].map(dict_pietro).fillna(df_for_modelling["pietro"])
index_poddasze = df_for_modelling["pietro"] == "poddasze"
df_for_modelling.loc[index_poddasze, "pietro"] = df_for_modelling.loc[
index_poddasze, "liczba_pieter"].apply(lambda liczba_pieter: liczba_pieter if liczba_pieter <= 10 else 15)
df_for_modelling["pietro"] = pd.to_numeric(df_for_modelling["pietro"]).astype("int8")
In [63]:
# Wyświetlenie wariancji dla zmiennych
df_for_modelling.var()
Out[63]:
powierzchnia 834.058 cena_metr 16490475.046 liczba_pokoi 1.009 pietro 6.464 liczba_pieter 10.145 teren_zamkniety 0.148 balkon 0.236 ogrodek 0.121 winda 0.247 piwnica 0.248 monitoring_ochrona 0.187 czas_auto 182490.229 dystans_auto 37912368.261 czas_zbiorowy 844697.807 dystans_zbiorowy 31274729.947 wiek_budynku 1054.070 w_budowie 0.060 nad_morzem 0.230 Gdańsk 0.237 Gdynia 0.213 Sopot 0.074 rynek_pierwotny 0.141 do_remontu 0.088 do_wykonczenia 0.167 do_zamieszkania 0.214 dtype: float64
In [64]:
# Wyświetlenie podglądu ramki danych
df_for_modelling.head()
Out[64]:
| powierzchnia | cena_metr | liczba_pokoi | pietro | liczba_pieter | teren_zamkniety | balkon | ogrodek | winda | piwnica | monitoring_ochrona | czas_auto | dystans_auto | czas_zbiorowy | dystans_zbiorowy | wiek_budynku | w_budowie | nad_morzem | Gdańsk | Gdynia | Sopot | rynek_pierwotny | do_remontu | do_wykonczenia | do_zamieszkania | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 41.750 | 7401.000 | 3 | 0 | 2.000 | 0 | 0 | 1 | 1 | 0 | 0 | 1036.000 | 10084.000 | 2414.000 | 11258.000 | 0.000 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1 | 46.600 | 8906.000 | 2 | 2 | 2.000 | 0 | 1 | 0 | 1 | 1 | 1 | 1553.000 | 12878.000 | 3685.000 | 16072.000 | 2.000 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
| 2 | 33.800 | 9260.000 | 2 | 4 | 5.000 | 0 | 0 | 0 | 1 | 0 | 1 | 929.000 | 8580.000 | 2354.000 | 8878.000 | 0.000 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 3 | 42.000 | 5929.000 | 2 | 3 | 3.000 | 0 | 0 | 0 | 0 | 0 | 0 | 1430.000 | 13809.000 | 2837.000 | 17852.000 | 26.000 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| 4 | 132.000 | 8485.000 | 4 | 1 | 2.000 | 1 | 0 | 0 | 0 | 1 | 1 | 1524.000 | 14737.000 | 1602.000 | 14053.000 | 2.000 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
6. Modelowanie¶
In [65]:
# Podział na zbior zmiennych X oraz zbiór zmiennej celu y - cena_metr
X = df_for_modelling.drop(columns="cena_metr", axis=1).copy()
y = df_for_modelling["cena_metr"]
In [66]:
X.head()
Out[66]:
| powierzchnia | liczba_pokoi | pietro | liczba_pieter | teren_zamkniety | balkon | ogrodek | winda | piwnica | monitoring_ochrona | czas_auto | dystans_auto | czas_zbiorowy | dystans_zbiorowy | wiek_budynku | w_budowie | nad_morzem | Gdańsk | Gdynia | Sopot | rynek_pierwotny | do_remontu | do_wykonczenia | do_zamieszkania | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 41.750 | 3 | 0 | 2.000 | 0 | 0 | 1 | 1 | 0 | 0 | 1036.000 | 10084.000 | 2414.000 | 11258.000 | 0.000 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1 | 46.600 | 2 | 2 | 2.000 | 0 | 1 | 0 | 1 | 1 | 1 | 1553.000 | 12878.000 | 3685.000 | 16072.000 | 2.000 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
| 2 | 33.800 | 2 | 4 | 5.000 | 0 | 0 | 0 | 1 | 0 | 1 | 929.000 | 8580.000 | 2354.000 | 8878.000 | 0.000 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 3 | 42.000 | 2 | 3 | 3.000 | 0 | 0 | 0 | 0 | 0 | 0 | 1430.000 | 13809.000 | 2837.000 | 17852.000 | 26.000 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| 4 | 132.000 | 4 | 1 | 2.000 | 1 | 0 | 0 | 0 | 1 | 1 | 1524.000 | 14737.000 | 1602.000 | 14053.000 | 2.000 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
In [67]:
y.head()
Out[67]:
0 7401.000 1 8906.000 2 9260.000 3 5929.000 4 8485.000 Name: cena_metr, dtype: float64
In [68]:
# Podział na zbiór treningowy i testowy (niestosowany do nauki modelu, a do jego testowania) stanowiący 15 % obserwacji
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.15, random_state=12345)
In [69]:
print(f"Rozmiar zbioru treningowego: {X_train.shape}")
print(f"Rozmiar zbioru testowego: {X_test.shape}")
Rozmiar zbioru treningowego: (2678, 24) Rozmiar zbioru testowego: (473, 24)
In [70]:
# Siatka parametrów dla estymatora LightGBM użyta podczas poszukiwania hyperparametrów
random_search_grid = {"learning_rate": uniform(0.0001, 0.1),
"n_estimators": randint(150, 350),
"min_data_in_leaf": randint(10, 50),
"max_bin": randint(40, 200),
"bagging_fraction": uniform(0.2, 0.5),
"bagging_freq": randint(4, 10),
"boosting_type": ["dart", "gbdt"]
}
In [71]:
# Przygotowanie obiektów estymatora oraz metody do szukania hyperparametrów
lgbm_model = LGBMRegressor(n_jobs=-1, n_iter=200)
random_search = RandomizedSearchCV(estimator=lgbm_model,
param_distributions=random_search_grid,
n_iter=50,
cv=4,
verbose=50,
scoring="neg_root_mean_squared_error")
In [72]:
# Uruchomienie procedury wyszukiwania hyperparametrów
random_search.fit(X_train, y_train)
Fitting 4 folds for each of 50 candidates, totalling 200 fits [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. [CV] bagging_fraction=0.3504435345515259, bagging_freq=5, boosting_type=dart, learning_rate=0.0064103420320363765, max_bin=193, min_data_in_leaf=22, n_estimators=297 [LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22 [LightGBM] [Warning] bagging_fraction is set=0.3504435345515259, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3504435345515259 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3504435345515259, bagging_freq=5, boosting_type=dart, learning_rate=0.0064103420320363765, max_bin=193, min_data_in_leaf=22, n_estimators=297, score=-6179.549, total= 1.0s [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.9s remaining: 0.0s [CV] bagging_fraction=0.3504435345515259, bagging_freq=5, boosting_type=dart, learning_rate=0.0064103420320363765, max_bin=193, min_data_in_leaf=22, n_estimators=297 [LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22 [LightGBM] [Warning] bagging_fraction is set=0.3504435345515259, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3504435345515259 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3504435345515259, bagging_freq=5, boosting_type=dart, learning_rate=0.0064103420320363765, max_bin=193, min_data_in_leaf=22, n_estimators=297, score=-6751.214, total= 1.1s [Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 1.9s remaining: 0.0s [CV] bagging_fraction=0.3504435345515259, bagging_freq=5, boosting_type=dart, learning_rate=0.0064103420320363765, max_bin=193, min_data_in_leaf=22, n_estimators=297 [LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22 [LightGBM] [Warning] bagging_fraction is set=0.3504435345515259, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3504435345515259 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3504435345515259, bagging_freq=5, boosting_type=dart, learning_rate=0.0064103420320363765, max_bin=193, min_data_in_leaf=22, n_estimators=297, score=-6243.052, total= 1.5s [Parallel(n_jobs=1)]: Done 3 out of 3 | elapsed: 3.4s remaining: 0.0s [CV] bagging_fraction=0.3504435345515259, bagging_freq=5, boosting_type=dart, learning_rate=0.0064103420320363765, max_bin=193, min_data_in_leaf=22, n_estimators=297 [LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22 [LightGBM] [Warning] bagging_fraction is set=0.3504435345515259, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3504435345515259 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3504435345515259, bagging_freq=5, boosting_type=dart, learning_rate=0.0064103420320363765, max_bin=193, min_data_in_leaf=22, n_estimators=297, score=-5990.691, total= 1.0s [Parallel(n_jobs=1)]: Done 4 out of 4 | elapsed: 4.4s remaining: 0.0s [CV] bagging_fraction=0.5592914202095289, bagging_freq=9, boosting_type=dart, learning_rate=0.0017791345561366412, max_bin=65, min_data_in_leaf=43, n_estimators=320 [LightGBM] [Warning] min_data_in_leaf is set=43, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=43 [LightGBM] [Warning] bagging_fraction is set=0.5592914202095289, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5592914202095289 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5592914202095289, bagging_freq=9, boosting_type=dart, learning_rate=0.0017791345561366412, max_bin=65, min_data_in_leaf=43, n_estimators=320, score=-7425.037, total= 0.7s [Parallel(n_jobs=1)]: Done 5 out of 5 | elapsed: 5.1s remaining: 0.0s [CV] bagging_fraction=0.5592914202095289, bagging_freq=9, boosting_type=dart, learning_rate=0.0017791345561366412, max_bin=65, min_data_in_leaf=43, n_estimators=320 [LightGBM] [Warning] min_data_in_leaf is set=43, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=43 [LightGBM] [Warning] bagging_fraction is set=0.5592914202095289, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5592914202095289 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5592914202095289, bagging_freq=9, boosting_type=dart, learning_rate=0.0017791345561366412, max_bin=65, min_data_in_leaf=43, n_estimators=320, score=-7972.049, total= 1.6s [Parallel(n_jobs=1)]: Done 6 out of 6 | elapsed: 6.7s remaining: 0.0s [CV] bagging_fraction=0.5592914202095289, bagging_freq=9, boosting_type=dart, learning_rate=0.0017791345561366412, max_bin=65, min_data_in_leaf=43, n_estimators=320 [LightGBM] [Warning] min_data_in_leaf is set=43, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=43 [LightGBM] [Warning] bagging_fraction is set=0.5592914202095289, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5592914202095289 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5592914202095289, bagging_freq=9, boosting_type=dart, learning_rate=0.0017791345561366412, max_bin=65, min_data_in_leaf=43, n_estimators=320, score=-7463.578, total= 0.9s [Parallel(n_jobs=1)]: Done 7 out of 7 | elapsed: 7.6s remaining: 0.0s [CV] bagging_fraction=0.5592914202095289, bagging_freq=9, boosting_type=dart, learning_rate=0.0017791345561366412, max_bin=65, min_data_in_leaf=43, n_estimators=320 [LightGBM] [Warning] min_data_in_leaf is set=43, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=43 [LightGBM] [Warning] bagging_fraction is set=0.5592914202095289, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5592914202095289 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5592914202095289, bagging_freq=9, boosting_type=dart, learning_rate=0.0017791345561366412, max_bin=65, min_data_in_leaf=43, n_estimators=320, score=-7286.889, total= 0.8s [Parallel(n_jobs=1)]: Done 8 out of 8 | elapsed: 8.3s remaining: 0.0s [CV] bagging_fraction=0.4363706728262366, bagging_freq=6, boosting_type=dart, learning_rate=0.02570514263907875, max_bin=155, min_data_in_leaf=10, n_estimators=187 [LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10 [LightGBM] [Warning] bagging_fraction is set=0.4363706728262366, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4363706728262366 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4363706728262366, bagging_freq=6, boosting_type=dart, learning_rate=0.02570514263907875, max_bin=155, min_data_in_leaf=10, n_estimators=187, score=-3510.052, total= 1.3s [Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 9.6s remaining: 0.0s [CV] bagging_fraction=0.4363706728262366, bagging_freq=6, boosting_type=dart, learning_rate=0.02570514263907875, max_bin=155, min_data_in_leaf=10, n_estimators=187 [LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10 [LightGBM] [Warning] bagging_fraction is set=0.4363706728262366, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4363706728262366 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4363706728262366, bagging_freq=6, boosting_type=dart, learning_rate=0.02570514263907875, max_bin=155, min_data_in_leaf=10, n_estimators=187, score=-3988.779, total= 1.3s [Parallel(n_jobs=1)]: Done 10 out of 10 | elapsed: 10.9s remaining: 0.0s [CV] bagging_fraction=0.4363706728262366, bagging_freq=6, boosting_type=dart, learning_rate=0.02570514263907875, max_bin=155, min_data_in_leaf=10, n_estimators=187 [LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10 [LightGBM] [Warning] bagging_fraction is set=0.4363706728262366, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4363706728262366 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4363706728262366, bagging_freq=6, boosting_type=dart, learning_rate=0.02570514263907875, max_bin=155, min_data_in_leaf=10, n_estimators=187, score=-3522.851, total= 3.0s [Parallel(n_jobs=1)]: Done 11 out of 11 | elapsed: 13.9s remaining: 0.0s [CV] bagging_fraction=0.4363706728262366, bagging_freq=6, boosting_type=dart, learning_rate=0.02570514263907875, max_bin=155, min_data_in_leaf=10, n_estimators=187 [LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10 [LightGBM] [Warning] bagging_fraction is set=0.4363706728262366, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4363706728262366 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4363706728262366, bagging_freq=6, boosting_type=dart, learning_rate=0.02570514263907875, max_bin=155, min_data_in_leaf=10, n_estimators=187, score=-3212.370, total= 2.7s [Parallel(n_jobs=1)]: Done 12 out of 12 | elapsed: 16.6s remaining: 0.0s [CV] bagging_fraction=0.29246990812919726, bagging_freq=8, boosting_type=gbdt, learning_rate=0.040979290010773266, max_bin=139, min_data_in_leaf=32, n_estimators=306 [LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32 [LightGBM] [Warning] bagging_fraction is set=0.29246990812919726, subsample=1.0 will be ignored. Current value: bagging_fraction=0.29246990812919726 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.29246990812919726, bagging_freq=8, boosting_type=gbdt, learning_rate=0.040979290010773266, max_bin=139, min_data_in_leaf=32, n_estimators=306, score=-2475.571, total= 0.8s [Parallel(n_jobs=1)]: Done 13 out of 13 | elapsed: 17.4s remaining: 0.0s [CV] bagging_fraction=0.29246990812919726, bagging_freq=8, boosting_type=gbdt, learning_rate=0.040979290010773266, max_bin=139, min_data_in_leaf=32, n_estimators=306 [LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32 [LightGBM] [Warning] bagging_fraction is set=0.29246990812919726, subsample=1.0 will be ignored. Current value: bagging_fraction=0.29246990812919726 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.29246990812919726, bagging_freq=8, boosting_type=gbdt, learning_rate=0.040979290010773266, max_bin=139, min_data_in_leaf=32, n_estimators=306, score=-2812.105, total= 0.9s [Parallel(n_jobs=1)]: Done 14 out of 14 | elapsed: 18.3s remaining: 0.0s [CV] bagging_fraction=0.29246990812919726, bagging_freq=8, boosting_type=gbdt, learning_rate=0.040979290010773266, max_bin=139, min_data_in_leaf=32, n_estimators=306 [LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32 [LightGBM] [Warning] bagging_fraction is set=0.29246990812919726, subsample=1.0 will be ignored. Current value: bagging_fraction=0.29246990812919726 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.29246990812919726, bagging_freq=8, boosting_type=gbdt, learning_rate=0.040979290010773266, max_bin=139, min_data_in_leaf=32, n_estimators=306, score=-2390.610, total= 0.5s [Parallel(n_jobs=1)]: Done 15 out of 15 | elapsed: 18.8s remaining: 0.0s [CV] bagging_fraction=0.29246990812919726, bagging_freq=8, boosting_type=gbdt, learning_rate=0.040979290010773266, max_bin=139, min_data_in_leaf=32, n_estimators=306 [LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32 [LightGBM] [Warning] bagging_fraction is set=0.29246990812919726, subsample=1.0 will be ignored. Current value: bagging_fraction=0.29246990812919726 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.29246990812919726, bagging_freq=8, boosting_type=gbdt, learning_rate=0.040979290010773266, max_bin=139, min_data_in_leaf=32, n_estimators=306, score=-2110.165, total= 1.1s [Parallel(n_jobs=1)]: Done 16 out of 16 | elapsed: 19.9s remaining: 0.0s [CV] bagging_fraction=0.3237753909511801, bagging_freq=9, boosting_type=dart, learning_rate=0.0030390173743202295, max_bin=115, min_data_in_leaf=10, n_estimators=264 [LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10 [LightGBM] [Warning] bagging_fraction is set=0.3237753909511801, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3237753909511801 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3237753909511801, bagging_freq=9, boosting_type=dart, learning_rate=0.0030390173743202295, max_bin=115, min_data_in_leaf=10, n_estimators=264, score=-7024.715, total= 2.2s [Parallel(n_jobs=1)]: Done 17 out of 17 | elapsed: 22.1s remaining: 0.0s [CV] bagging_fraction=0.3237753909511801, bagging_freq=9, boosting_type=dart, learning_rate=0.0030390173743202295, max_bin=115, min_data_in_leaf=10, n_estimators=264 [LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10 [LightGBM] [Warning] bagging_fraction is set=0.3237753909511801, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3237753909511801 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3237753909511801, bagging_freq=9, boosting_type=dart, learning_rate=0.0030390173743202295, max_bin=115, min_data_in_leaf=10, n_estimators=264, score=-7561.925, total= 1.5s [Parallel(n_jobs=1)]: Done 18 out of 18 | elapsed: 23.6s remaining: 0.0s [CV] bagging_fraction=0.3237753909511801, bagging_freq=9, boosting_type=dart, learning_rate=0.0030390173743202295, max_bin=115, min_data_in_leaf=10, n_estimators=264 [LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10 [LightGBM] [Warning] bagging_fraction is set=0.3237753909511801, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3237753909511801 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3237753909511801, bagging_freq=9, boosting_type=dart, learning_rate=0.0030390173743202295, max_bin=115, min_data_in_leaf=10, n_estimators=264, score=-7060.411, total= 2.5s [Parallel(n_jobs=1)]: Done 19 out of 19 | elapsed: 26.1s remaining: 0.0s [CV] bagging_fraction=0.3237753909511801, bagging_freq=9, boosting_type=dart, learning_rate=0.0030390173743202295, max_bin=115, min_data_in_leaf=10, n_estimators=264 [LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10 [LightGBM] [Warning] bagging_fraction is set=0.3237753909511801, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3237753909511801 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3237753909511801, bagging_freq=9, boosting_type=dart, learning_rate=0.0030390173743202295, max_bin=115, min_data_in_leaf=10, n_estimators=264, score=-6870.571, total= 2.5s [Parallel(n_jobs=1)]: Done 20 out of 20 | elapsed: 28.6s remaining: 0.0s [CV] bagging_fraction=0.3022740638468058, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04717460540007333, max_bin=107, min_data_in_leaf=10, n_estimators=240 [LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10 [LightGBM] [Warning] bagging_fraction is set=0.3022740638468058, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3022740638468058 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3022740638468058, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04717460540007333, max_bin=107, min_data_in_leaf=10, n_estimators=240, score=-2155.687, total= 0.7s [Parallel(n_jobs=1)]: Done 21 out of 21 | elapsed: 29.4s remaining: 0.0s [CV] bagging_fraction=0.3022740638468058, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04717460540007333, max_bin=107, min_data_in_leaf=10, n_estimators=240 [LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10 [LightGBM] [Warning] bagging_fraction is set=0.3022740638468058, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3022740638468058 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3022740638468058, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04717460540007333, max_bin=107, min_data_in_leaf=10, n_estimators=240, score=-2639.718, total= 0.6s [Parallel(n_jobs=1)]: Done 22 out of 22 | elapsed: 29.9s remaining: 0.0s [CV] bagging_fraction=0.3022740638468058, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04717460540007333, max_bin=107, min_data_in_leaf=10, n_estimators=240 [LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10 [LightGBM] [Warning] bagging_fraction is set=0.3022740638468058, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3022740638468058 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3022740638468058, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04717460540007333, max_bin=107, min_data_in_leaf=10, n_estimators=240, score=-2057.758, total= 0.5s [Parallel(n_jobs=1)]: Done 23 out of 23 | elapsed: 30.5s remaining: 0.0s [CV] bagging_fraction=0.3022740638468058, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04717460540007333, max_bin=107, min_data_in_leaf=10, n_estimators=240 [LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10 [LightGBM] [Warning] bagging_fraction is set=0.3022740638468058, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3022740638468058 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3022740638468058, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04717460540007333, max_bin=107, min_data_in_leaf=10, n_estimators=240, score=-1914.363, total= 0.7s [Parallel(n_jobs=1)]: Done 24 out of 24 | elapsed: 31.2s remaining: 0.0s [CV] bagging_fraction=0.5563925928832198, bagging_freq=8, boosting_type=gbdt, learning_rate=0.03743378030458097, max_bin=188, min_data_in_leaf=42, n_estimators=179 [LightGBM] [Warning] min_data_in_leaf is set=42, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=42 [LightGBM] [Warning] bagging_fraction is set=0.5563925928832198, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5563925928832198 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5563925928832198, bagging_freq=8, boosting_type=gbdt, learning_rate=0.03743378030458097, max_bin=188, min_data_in_leaf=42, n_estimators=179, score=-2279.611, total= 0.9s [Parallel(n_jobs=1)]: Done 25 out of 25 | elapsed: 32.0s remaining: 0.0s [CV] bagging_fraction=0.5563925928832198, bagging_freq=8, boosting_type=gbdt, learning_rate=0.03743378030458097, max_bin=188, min_data_in_leaf=42, n_estimators=179 [LightGBM] [Warning] min_data_in_leaf is set=42, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=42 [LightGBM] [Warning] bagging_fraction is set=0.5563925928832198, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5563925928832198 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5563925928832198, bagging_freq=8, boosting_type=gbdt, learning_rate=0.03743378030458097, max_bin=188, min_data_in_leaf=42, n_estimators=179, score=-2702.128, total= 0.5s [Parallel(n_jobs=1)]: Done 26 out of 26 | elapsed: 32.5s remaining: 0.0s [CV] bagging_fraction=0.5563925928832198, bagging_freq=8, boosting_type=gbdt, learning_rate=0.03743378030458097, max_bin=188, min_data_in_leaf=42, n_estimators=179 [LightGBM] [Warning] min_data_in_leaf is set=42, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=42 [LightGBM] [Warning] bagging_fraction is set=0.5563925928832198, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5563925928832198 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5563925928832198, bagging_freq=8, boosting_type=gbdt, learning_rate=0.03743378030458097, max_bin=188, min_data_in_leaf=42, n_estimators=179, score=-2301.258, total= 0.4s [Parallel(n_jobs=1)]: Done 27 out of 27 | elapsed: 33.0s remaining: 0.0s [CV] bagging_fraction=0.5563925928832198, bagging_freq=8, boosting_type=gbdt, learning_rate=0.03743378030458097, max_bin=188, min_data_in_leaf=42, n_estimators=179 [LightGBM] [Warning] min_data_in_leaf is set=42, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=42 [LightGBM] [Warning] bagging_fraction is set=0.5563925928832198, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5563925928832198 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5563925928832198, bagging_freq=8, boosting_type=gbdt, learning_rate=0.03743378030458097, max_bin=188, min_data_in_leaf=42, n_estimators=179, score=-1929.190, total= 0.5s [Parallel(n_jobs=1)]: Done 28 out of 28 | elapsed: 33.5s remaining: 0.0s [CV] bagging_fraction=0.6889368747692127, bagging_freq=4, boosting_type=gbdt, learning_rate=0.009611987048818382, max_bin=61, min_data_in_leaf=28, n_estimators=160 [LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28 [LightGBM] [Warning] bagging_fraction is set=0.6889368747692127, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6889368747692127 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6889368747692127, bagging_freq=4, boosting_type=gbdt, learning_rate=0.009611987048818382, max_bin=61, min_data_in_leaf=28, n_estimators=160, score=-2543.918, total= 0.5s [Parallel(n_jobs=1)]: Done 29 out of 29 | elapsed: 34.0s remaining: 0.0s [CV] bagging_fraction=0.6889368747692127, bagging_freq=4, boosting_type=gbdt, learning_rate=0.009611987048818382, max_bin=61, min_data_in_leaf=28, n_estimators=160 [LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28 [LightGBM] [Warning] bagging_fraction is set=0.6889368747692127, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6889368747692127 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6889368747692127, bagging_freq=4, boosting_type=gbdt, learning_rate=0.009611987048818382, max_bin=61, min_data_in_leaf=28, n_estimators=160, score=-3021.745, total= 0.5s [Parallel(n_jobs=1)]: Done 30 out of 30 | elapsed: 34.5s remaining: 0.0s [CV] bagging_fraction=0.6889368747692127, bagging_freq=4, boosting_type=gbdt, learning_rate=0.009611987048818382, max_bin=61, min_data_in_leaf=28, n_estimators=160 [LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28 [LightGBM] [Warning] bagging_fraction is set=0.6889368747692127, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6889368747692127 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6889368747692127, bagging_freq=4, boosting_type=gbdt, learning_rate=0.009611987048818382, max_bin=61, min_data_in_leaf=28, n_estimators=160, score=-2533.770, total= 0.5s [Parallel(n_jobs=1)]: Done 31 out of 31 | elapsed: 35.1s remaining: 0.0s [CV] bagging_fraction=0.6889368747692127, bagging_freq=4, boosting_type=gbdt, learning_rate=0.009611987048818382, max_bin=61, min_data_in_leaf=28, n_estimators=160 [LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28 [LightGBM] [Warning] bagging_fraction is set=0.6889368747692127, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6889368747692127 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6889368747692127, bagging_freq=4, boosting_type=gbdt, learning_rate=0.009611987048818382, max_bin=61, min_data_in_leaf=28, n_estimators=160, score=-2102.447, total= 0.6s [Parallel(n_jobs=1)]: Done 32 out of 32 | elapsed: 35.7s remaining: 0.0s [CV] bagging_fraction=0.3596242791823764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04419329918163067, max_bin=139, min_data_in_leaf=16, n_estimators=176 [LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16 [LightGBM] [Warning] bagging_fraction is set=0.3596242791823764, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3596242791823764 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3596242791823764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04419329918163067, max_bin=139, min_data_in_leaf=16, n_estimators=176, score=-2136.554, total= 0.6s [Parallel(n_jobs=1)]: Done 33 out of 33 | elapsed: 36.2s remaining: 0.0s [CV] bagging_fraction=0.3596242791823764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04419329918163067, max_bin=139, min_data_in_leaf=16, n_estimators=176 [LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16 [LightGBM] [Warning] bagging_fraction is set=0.3596242791823764, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3596242791823764 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3596242791823764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04419329918163067, max_bin=139, min_data_in_leaf=16, n_estimators=176, score=-2571.378, total= 0.6s [Parallel(n_jobs=1)]: Done 34 out of 34 | elapsed: 36.8s remaining: 0.0s [CV] bagging_fraction=0.3596242791823764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04419329918163067, max_bin=139, min_data_in_leaf=16, n_estimators=176 [LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16 [LightGBM] [Warning] bagging_fraction is set=0.3596242791823764, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3596242791823764 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3596242791823764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04419329918163067, max_bin=139, min_data_in_leaf=16, n_estimators=176, score=-2087.073, total= 0.7s [Parallel(n_jobs=1)]: Done 35 out of 35 | elapsed: 37.5s remaining: 0.0s [CV] bagging_fraction=0.3596242791823764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04419329918163067, max_bin=139, min_data_in_leaf=16, n_estimators=176 [LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16 [LightGBM] [Warning] bagging_fraction is set=0.3596242791823764, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3596242791823764 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3596242791823764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04419329918163067, max_bin=139, min_data_in_leaf=16, n_estimators=176, score=-1780.754, total= 0.5s [Parallel(n_jobs=1)]: Done 36 out of 36 | elapsed: 38.1s remaining: 0.0s [CV] bagging_fraction=0.6239874815026982, bagging_freq=9, boosting_type=gbdt, learning_rate=0.09426878409665895, max_bin=66, min_data_in_leaf=20, n_estimators=184 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.6239874815026982, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6239874815026982 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6239874815026982, bagging_freq=9, boosting_type=gbdt, learning_rate=0.09426878409665895, max_bin=66, min_data_in_leaf=20, n_estimators=184, score=-2178.706, total= 0.6s [Parallel(n_jobs=1)]: Done 37 out of 37 | elapsed: 38.7s remaining: 0.0s [CV] bagging_fraction=0.6239874815026982, bagging_freq=9, boosting_type=gbdt, learning_rate=0.09426878409665895, max_bin=66, min_data_in_leaf=20, n_estimators=184 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.6239874815026982, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6239874815026982 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6239874815026982, bagging_freq=9, boosting_type=gbdt, learning_rate=0.09426878409665895, max_bin=66, min_data_in_leaf=20, n_estimators=184, score=-2292.994, total= 1.0s [Parallel(n_jobs=1)]: Done 38 out of 38 | elapsed: 39.7s remaining: 0.0s [CV] bagging_fraction=0.6239874815026982, bagging_freq=9, boosting_type=gbdt, learning_rate=0.09426878409665895, max_bin=66, min_data_in_leaf=20, n_estimators=184 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.6239874815026982, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6239874815026982 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6239874815026982, bagging_freq=9, boosting_type=gbdt, learning_rate=0.09426878409665895, max_bin=66, min_data_in_leaf=20, n_estimators=184, score=-1847.922, total= 0.7s [Parallel(n_jobs=1)]: Done 39 out of 39 | elapsed: 40.4s remaining: 0.0s [CV] bagging_fraction=0.6239874815026982, bagging_freq=9, boosting_type=gbdt, learning_rate=0.09426878409665895, max_bin=66, min_data_in_leaf=20, n_estimators=184 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.6239874815026982, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6239874815026982 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6239874815026982, bagging_freq=9, boosting_type=gbdt, learning_rate=0.09426878409665895, max_bin=66, min_data_in_leaf=20, n_estimators=184, score=-1726.728, total= 0.5s [Parallel(n_jobs=1)]: Done 40 out of 40 | elapsed: 40.9s remaining: 0.0s [CV] bagging_fraction=0.31472853783320065, bagging_freq=4, boosting_type=dart, learning_rate=0.08841655821724925, max_bin=125, min_data_in_leaf=17, n_estimators=193 [LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17 [LightGBM] [Warning] bagging_fraction is set=0.31472853783320065, subsample=1.0 will be ignored. Current value: bagging_fraction=0.31472853783320065 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.31472853783320065, bagging_freq=4, boosting_type=dart, learning_rate=0.08841655821724925, max_bin=125, min_data_in_leaf=17, n_estimators=193, score=-2246.935, total= 1.0s [Parallel(n_jobs=1)]: Done 41 out of 41 | elapsed: 41.9s remaining: 0.0s [CV] bagging_fraction=0.31472853783320065, bagging_freq=4, boosting_type=dart, learning_rate=0.08841655821724925, max_bin=125, min_data_in_leaf=17, n_estimators=193 [LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17 [LightGBM] [Warning] bagging_fraction is set=0.31472853783320065, subsample=1.0 will be ignored. Current value: bagging_fraction=0.31472853783320065 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.31472853783320065, bagging_freq=4, boosting_type=dart, learning_rate=0.08841655821724925, max_bin=125, min_data_in_leaf=17, n_estimators=193, score=-2743.465, total= 0.9s [Parallel(n_jobs=1)]: Done 42 out of 42 | elapsed: 42.8s remaining: 0.0s [CV] bagging_fraction=0.31472853783320065, bagging_freq=4, boosting_type=dart, learning_rate=0.08841655821724925, max_bin=125, min_data_in_leaf=17, n_estimators=193 [LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17 [LightGBM] [Warning] bagging_fraction is set=0.31472853783320065, subsample=1.0 will be ignored. Current value: bagging_fraction=0.31472853783320065 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.31472853783320065, bagging_freq=4, boosting_type=dart, learning_rate=0.08841655821724925, max_bin=125, min_data_in_leaf=17, n_estimators=193, score=-2326.916, total= 1.2s [Parallel(n_jobs=1)]: Done 43 out of 43 | elapsed: 43.9s remaining: 0.0s [CV] bagging_fraction=0.31472853783320065, bagging_freq=4, boosting_type=dart, learning_rate=0.08841655821724925, max_bin=125, min_data_in_leaf=17, n_estimators=193 [LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17 [LightGBM] [Warning] bagging_fraction is set=0.31472853783320065, subsample=1.0 will be ignored. Current value: bagging_fraction=0.31472853783320065 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.31472853783320065, bagging_freq=4, boosting_type=dart, learning_rate=0.08841655821724925, max_bin=125, min_data_in_leaf=17, n_estimators=193, score=-1984.343, total= 0.9s [Parallel(n_jobs=1)]: Done 44 out of 44 | elapsed: 44.8s remaining: 0.0s [CV] bagging_fraction=0.29583285536708653, bagging_freq=5, boosting_type=gbdt, learning_rate=0.03420575958156113, max_bin=130, min_data_in_leaf=41, n_estimators=220 [LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41 [LightGBM] [Warning] bagging_fraction is set=0.29583285536708653, subsample=1.0 will be ignored. Current value: bagging_fraction=0.29583285536708653 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.29583285536708653, bagging_freq=5, boosting_type=gbdt, learning_rate=0.03420575958156113, max_bin=130, min_data_in_leaf=41, n_estimators=220, score=-2405.682, total= 0.3s [Parallel(n_jobs=1)]: Done 45 out of 45 | elapsed: 45.1s remaining: 0.0s [CV] bagging_fraction=0.29583285536708653, bagging_freq=5, boosting_type=gbdt, learning_rate=0.03420575958156113, max_bin=130, min_data_in_leaf=41, n_estimators=220 [LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41 [LightGBM] [Warning] bagging_fraction is set=0.29583285536708653, subsample=1.0 will be ignored. Current value: bagging_fraction=0.29583285536708653 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.29583285536708653, bagging_freq=5, boosting_type=gbdt, learning_rate=0.03420575958156113, max_bin=130, min_data_in_leaf=41, n_estimators=220, score=-2956.818, total= 0.4s [Parallel(n_jobs=1)]: Done 46 out of 46 | elapsed: 45.6s remaining: 0.0s [CV] bagging_fraction=0.29583285536708653, bagging_freq=5, boosting_type=gbdt, learning_rate=0.03420575958156113, max_bin=130, min_data_in_leaf=41, n_estimators=220 [LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41 [LightGBM] [Warning] bagging_fraction is set=0.29583285536708653, subsample=1.0 will be ignored. Current value: bagging_fraction=0.29583285536708653 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.29583285536708653, bagging_freq=5, boosting_type=gbdt, learning_rate=0.03420575958156113, max_bin=130, min_data_in_leaf=41, n_estimators=220, score=-2523.903, total= 0.3s [Parallel(n_jobs=1)]: Done 47 out of 47 | elapsed: 45.8s remaining: 0.0s [CV] bagging_fraction=0.29583285536708653, bagging_freq=5, boosting_type=gbdt, learning_rate=0.03420575958156113, max_bin=130, min_data_in_leaf=41, n_estimators=220 [LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41 [LightGBM] [Warning] bagging_fraction is set=0.29583285536708653, subsample=1.0 will be ignored. Current value: bagging_fraction=0.29583285536708653 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.29583285536708653, bagging_freq=5, boosting_type=gbdt, learning_rate=0.03420575958156113, max_bin=130, min_data_in_leaf=41, n_estimators=220, score=-2202.944, total= 0.6s [Parallel(n_jobs=1)]: Done 48 out of 48 | elapsed: 46.5s remaining: 0.0s [CV] bagging_fraction=0.3987203433466033, bagging_freq=6, boosting_type=dart, learning_rate=0.04339787118406662, max_bin=171, min_data_in_leaf=23, n_estimators=203 [LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23 [LightGBM] [Warning] bagging_fraction is set=0.3987203433466033, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3987203433466033 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3987203433466033, bagging_freq=6, boosting_type=dart, learning_rate=0.04339787118406662, max_bin=171, min_data_in_leaf=23, n_estimators=203, score=-2803.532, total= 1.3s [Parallel(n_jobs=1)]: Done 49 out of 49 | elapsed: 47.8s remaining: 0.0s [CV] bagging_fraction=0.3987203433466033, bagging_freq=6, boosting_type=dart, learning_rate=0.04339787118406662, max_bin=171, min_data_in_leaf=23, n_estimators=203 [LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23 [LightGBM] [Warning] bagging_fraction is set=0.3987203433466033, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3987203433466033 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3987203433466033, bagging_freq=6, boosting_type=dart, learning_rate=0.04339787118406662, max_bin=171, min_data_in_leaf=23, n_estimators=203, score=-3355.121, total= 1.1s [CV] bagging_fraction=0.3987203433466033, bagging_freq=6, boosting_type=dart, learning_rate=0.04339787118406662, max_bin=171, min_data_in_leaf=23, n_estimators=203 [LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23 [LightGBM] [Warning] bagging_fraction is set=0.3987203433466033, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3987203433466033 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3987203433466033, bagging_freq=6, boosting_type=dart, learning_rate=0.04339787118406662, max_bin=171, min_data_in_leaf=23, n_estimators=203, score=-2904.971, total= 0.9s [CV] bagging_fraction=0.3987203433466033, bagging_freq=6, boosting_type=dart, learning_rate=0.04339787118406662, max_bin=171, min_data_in_leaf=23, n_estimators=203 [LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23 [LightGBM] [Warning] bagging_fraction is set=0.3987203433466033, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3987203433466033 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3987203433466033, bagging_freq=6, boosting_type=dart, learning_rate=0.04339787118406662, max_bin=171, min_data_in_leaf=23, n_estimators=203, score=-2478.988, total= 0.9s [CV] bagging_fraction=0.44521829906193733, bagging_freq=9, boosting_type=dart, learning_rate=0.006304210746254879, max_bin=121, min_data_in_leaf=38, n_estimators=245 [LightGBM] [Warning] min_data_in_leaf is set=38, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=38 [LightGBM] [Warning] bagging_fraction is set=0.44521829906193733, subsample=1.0 will be ignored. Current value: bagging_fraction=0.44521829906193733 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.44521829906193733, bagging_freq=9, boosting_type=dart, learning_rate=0.006304210746254879, max_bin=121, min_data_in_leaf=38, n_estimators=245, score=-6209.466, total= 1.2s [CV] bagging_fraction=0.44521829906193733, bagging_freq=9, boosting_type=dart, learning_rate=0.006304210746254879, max_bin=121, min_data_in_leaf=38, n_estimators=245 [LightGBM] [Warning] min_data_in_leaf is set=38, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=38 [LightGBM] [Warning] bagging_fraction is set=0.44521829906193733, subsample=1.0 will be ignored. Current value: bagging_fraction=0.44521829906193733 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.44521829906193733, bagging_freq=9, boosting_type=dart, learning_rate=0.006304210746254879, max_bin=121, min_data_in_leaf=38, n_estimators=245, score=-6785.643, total= 0.7s [CV] bagging_fraction=0.44521829906193733, bagging_freq=9, boosting_type=dart, learning_rate=0.006304210746254879, max_bin=121, min_data_in_leaf=38, n_estimators=245 [LightGBM] [Warning] min_data_in_leaf is set=38, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=38 [LightGBM] [Warning] bagging_fraction is set=0.44521829906193733, subsample=1.0 will be ignored. Current value: bagging_fraction=0.44521829906193733 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.44521829906193733, bagging_freq=9, boosting_type=dart, learning_rate=0.006304210746254879, max_bin=121, min_data_in_leaf=38, n_estimators=245, score=-6286.228, total= 0.6s [CV] bagging_fraction=0.44521829906193733, bagging_freq=9, boosting_type=dart, learning_rate=0.006304210746254879, max_bin=121, min_data_in_leaf=38, n_estimators=245 [LightGBM] [Warning] min_data_in_leaf is set=38, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=38 [LightGBM] [Warning] bagging_fraction is set=0.44521829906193733, subsample=1.0 will be ignored. Current value: bagging_fraction=0.44521829906193733 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.44521829906193733, bagging_freq=9, boosting_type=dart, learning_rate=0.006304210746254879, max_bin=121, min_data_in_leaf=38, n_estimators=245, score=-6030.742, total= 0.6s [CV] bagging_fraction=0.3476093029127675, bagging_freq=4, boosting_type=dart, learning_rate=0.06913808833355001, max_bin=46, min_data_in_leaf=23, n_estimators=331 [LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23 [LightGBM] [Warning] bagging_fraction is set=0.3476093029127675, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3476093029127675 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3476093029127675, bagging_freq=4, boosting_type=dart, learning_rate=0.06913808833355001, max_bin=46, min_data_in_leaf=23, n_estimators=331, score=-2427.102, total= 0.7s [CV] bagging_fraction=0.3476093029127675, bagging_freq=4, boosting_type=dart, learning_rate=0.06913808833355001, max_bin=46, min_data_in_leaf=23, n_estimators=331 [LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23 [LightGBM] [Warning] bagging_fraction is set=0.3476093029127675, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3476093029127675 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3476093029127675, bagging_freq=4, boosting_type=dart, learning_rate=0.06913808833355001, max_bin=46, min_data_in_leaf=23, n_estimators=331, score=-3007.335, total= 0.9s [CV] bagging_fraction=0.3476093029127675, bagging_freq=4, boosting_type=dart, learning_rate=0.06913808833355001, max_bin=46, min_data_in_leaf=23, n_estimators=331 [LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23 [LightGBM] [Warning] bagging_fraction is set=0.3476093029127675, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3476093029127675 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3476093029127675, bagging_freq=4, boosting_type=dart, learning_rate=0.06913808833355001, max_bin=46, min_data_in_leaf=23, n_estimators=331, score=-2558.816, total= 0.6s [CV] bagging_fraction=0.3476093029127675, bagging_freq=4, boosting_type=dart, learning_rate=0.06913808833355001, max_bin=46, min_data_in_leaf=23, n_estimators=331 [LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23 [LightGBM] [Warning] bagging_fraction is set=0.3476093029127675, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3476093029127675 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3476093029127675, bagging_freq=4, boosting_type=dart, learning_rate=0.06913808833355001, max_bin=46, min_data_in_leaf=23, n_estimators=331, score=-2145.348, total= 0.6s [CV] bagging_fraction=0.37421428698548, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06625186107076336, max_bin=64, min_data_in_leaf=39, n_estimators=334 [LightGBM] [Warning] min_data_in_leaf is set=39, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=39 [LightGBM] [Warning] bagging_fraction is set=0.37421428698548, subsample=1.0 will be ignored. Current value: bagging_fraction=0.37421428698548 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.37421428698548, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06625186107076336, max_bin=64, min_data_in_leaf=39, n_estimators=334, score=-2272.610, total= 0.3s [CV] bagging_fraction=0.37421428698548, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06625186107076336, max_bin=64, min_data_in_leaf=39, n_estimators=334 [LightGBM] [Warning] min_data_in_leaf is set=39, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=39 [LightGBM] [Warning] bagging_fraction is set=0.37421428698548, subsample=1.0 will be ignored. Current value: bagging_fraction=0.37421428698548 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.37421428698548, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06625186107076336, max_bin=64, min_data_in_leaf=39, n_estimators=334, score=-2753.710, total= 0.5s [CV] bagging_fraction=0.37421428698548, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06625186107076336, max_bin=64, min_data_in_leaf=39, n_estimators=334 [LightGBM] [Warning] min_data_in_leaf is set=39, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=39 [LightGBM] [Warning] bagging_fraction is set=0.37421428698548, subsample=1.0 will be ignored. Current value: bagging_fraction=0.37421428698548 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.37421428698548, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06625186107076336, max_bin=64, min_data_in_leaf=39, n_estimators=334, score=-2324.058, total= 0.5s [CV] bagging_fraction=0.37421428698548, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06625186107076336, max_bin=64, min_data_in_leaf=39, n_estimators=334 [LightGBM] [Warning] min_data_in_leaf is set=39, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=39 [LightGBM] [Warning] bagging_fraction is set=0.37421428698548, subsample=1.0 will be ignored. Current value: bagging_fraction=0.37421428698548 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.37421428698548, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06625186107076336, max_bin=64, min_data_in_leaf=39, n_estimators=334, score=-2008.290, total= 0.5s [CV] bagging_fraction=0.627355541369166, bagging_freq=4, boosting_type=dart, learning_rate=0.05082527074296879, max_bin=87, min_data_in_leaf=14, n_estimators=151 [LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14 [LightGBM] [Warning] bagging_fraction is set=0.627355541369166, subsample=1.0 will be ignored. Current value: bagging_fraction=0.627355541369166 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.627355541369166, bagging_freq=4, boosting_type=dart, learning_rate=0.05082527074296879, max_bin=87, min_data_in_leaf=14, n_estimators=151, score=-2565.594, total= 1.4s [CV] bagging_fraction=0.627355541369166, bagging_freq=4, boosting_type=dart, learning_rate=0.05082527074296879, max_bin=87, min_data_in_leaf=14, n_estimators=151 [LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14 [LightGBM] [Warning] bagging_fraction is set=0.627355541369166, subsample=1.0 will be ignored. Current value: bagging_fraction=0.627355541369166 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.627355541369166, bagging_freq=4, boosting_type=dart, learning_rate=0.05082527074296879, max_bin=87, min_data_in_leaf=14, n_estimators=151, score=-2904.987, total= 0.8s [CV] bagging_fraction=0.627355541369166, bagging_freq=4, boosting_type=dart, learning_rate=0.05082527074296879, max_bin=87, min_data_in_leaf=14, n_estimators=151 [LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14 [LightGBM] [Warning] bagging_fraction is set=0.627355541369166, subsample=1.0 will be ignored. Current value: bagging_fraction=0.627355541369166 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.627355541369166, bagging_freq=4, boosting_type=dart, learning_rate=0.05082527074296879, max_bin=87, min_data_in_leaf=14, n_estimators=151, score=-2494.963, total= 0.8s [CV] bagging_fraction=0.627355541369166, bagging_freq=4, boosting_type=dart, learning_rate=0.05082527074296879, max_bin=87, min_data_in_leaf=14, n_estimators=151 [LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14 [LightGBM] [Warning] bagging_fraction is set=0.627355541369166, subsample=1.0 will be ignored. Current value: bagging_fraction=0.627355541369166 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.627355541369166, bagging_freq=4, boosting_type=dart, learning_rate=0.05082527074296879, max_bin=87, min_data_in_leaf=14, n_estimators=151, score=-2165.408, total= 0.8s [CV] bagging_fraction=0.2927587726596365, bagging_freq=9, boosting_type=dart, learning_rate=0.06668341440390804, max_bin=73, min_data_in_leaf=41, n_estimators=319 [LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41 [LightGBM] [Warning] bagging_fraction is set=0.2927587726596365, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2927587726596365 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2927587726596365, bagging_freq=9, boosting_type=dart, learning_rate=0.06668341440390804, max_bin=73, min_data_in_leaf=41, n_estimators=319, score=-2632.304, total= 0.5s [CV] bagging_fraction=0.2927587726596365, bagging_freq=9, boosting_type=dart, learning_rate=0.06668341440390804, max_bin=73, min_data_in_leaf=41, n_estimators=319 [LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41 [LightGBM] [Warning] bagging_fraction is set=0.2927587726596365, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2927587726596365 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2927587726596365, bagging_freq=9, boosting_type=dart, learning_rate=0.06668341440390804, max_bin=73, min_data_in_leaf=41, n_estimators=319, score=-3250.959, total= 0.6s [CV] bagging_fraction=0.2927587726596365, bagging_freq=9, boosting_type=dart, learning_rate=0.06668341440390804, max_bin=73, min_data_in_leaf=41, n_estimators=319 [LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41 [LightGBM] [Warning] bagging_fraction is set=0.2927587726596365, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2927587726596365 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2927587726596365, bagging_freq=9, boosting_type=dart, learning_rate=0.06668341440390804, max_bin=73, min_data_in_leaf=41, n_estimators=319, score=-2747.402, total= 0.5s [CV] bagging_fraction=0.2927587726596365, bagging_freq=9, boosting_type=dart, learning_rate=0.06668341440390804, max_bin=73, min_data_in_leaf=41, n_estimators=319 [LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41 [LightGBM] [Warning] bagging_fraction is set=0.2927587726596365, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2927587726596365 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2927587726596365, bagging_freq=9, boosting_type=dart, learning_rate=0.06668341440390804, max_bin=73, min_data_in_leaf=41, n_estimators=319, score=-2373.727, total= 0.5s [CV] bagging_fraction=0.20940860199741584, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06669950262803608, max_bin=125, min_data_in_leaf=33, n_estimators=178 [LightGBM] [Warning] min_data_in_leaf is set=33, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=33 [LightGBM] [Warning] bagging_fraction is set=0.20940860199741584, subsample=1.0 will be ignored. Current value: bagging_fraction=0.20940860199741584 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.20940860199741584, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06669950262803608, max_bin=125, min_data_in_leaf=33, n_estimators=178, score=-2388.319, total= 0.3s [CV] bagging_fraction=0.20940860199741584, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06669950262803608, max_bin=125, min_data_in_leaf=33, n_estimators=178 [LightGBM] [Warning] min_data_in_leaf is set=33, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=33 [LightGBM] [Warning] bagging_fraction is set=0.20940860199741584, subsample=1.0 will be ignored. Current value: bagging_fraction=0.20940860199741584 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.20940860199741584, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06669950262803608, max_bin=125, min_data_in_leaf=33, n_estimators=178, score=-2830.129, total= 0.3s [CV] bagging_fraction=0.20940860199741584, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06669950262803608, max_bin=125, min_data_in_leaf=33, n_estimators=178 [LightGBM] [Warning] min_data_in_leaf is set=33, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=33 [LightGBM] [Warning] bagging_fraction is set=0.20940860199741584, subsample=1.0 will be ignored. Current value: bagging_fraction=0.20940860199741584 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.20940860199741584, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06669950262803608, max_bin=125, min_data_in_leaf=33, n_estimators=178, score=-2404.579, total= 0.3s [CV] bagging_fraction=0.20940860199741584, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06669950262803608, max_bin=125, min_data_in_leaf=33, n_estimators=178 [LightGBM] [Warning] min_data_in_leaf is set=33, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=33 [LightGBM] [Warning] bagging_fraction is set=0.20940860199741584, subsample=1.0 will be ignored. Current value: bagging_fraction=0.20940860199741584 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.20940860199741584, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06669950262803608, max_bin=125, min_data_in_leaf=33, n_estimators=178, score=-2159.333, total= 0.3s [CV] bagging_fraction=0.4931273820106929, bagging_freq=8, boosting_type=dart, learning_rate=0.007590910460748013, max_bin=128, min_data_in_leaf=18, n_estimators=259 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] bagging_fraction is set=0.4931273820106929, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4931273820106929 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4931273820106929, bagging_freq=8, boosting_type=dart, learning_rate=0.007590910460748013, max_bin=128, min_data_in_leaf=18, n_estimators=259, score=-5892.686, total= 0.8s [CV] bagging_fraction=0.4931273820106929, bagging_freq=8, boosting_type=dart, learning_rate=0.007590910460748013, max_bin=128, min_data_in_leaf=18, n_estimators=259 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] bagging_fraction is set=0.4931273820106929, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4931273820106929 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4931273820106929, bagging_freq=8, boosting_type=dart, learning_rate=0.007590910460748013, max_bin=128, min_data_in_leaf=18, n_estimators=259, score=-6403.596, total= 0.9s [CV] bagging_fraction=0.4931273820106929, bagging_freq=8, boosting_type=dart, learning_rate=0.007590910460748013, max_bin=128, min_data_in_leaf=18, n_estimators=259 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] bagging_fraction is set=0.4931273820106929, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4931273820106929 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4931273820106929, bagging_freq=8, boosting_type=dart, learning_rate=0.007590910460748013, max_bin=128, min_data_in_leaf=18, n_estimators=259, score=-5931.897, total= 0.8s [CV] bagging_fraction=0.4931273820106929, bagging_freq=8, boosting_type=dart, learning_rate=0.007590910460748013, max_bin=128, min_data_in_leaf=18, n_estimators=259 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] bagging_fraction is set=0.4931273820106929, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4931273820106929 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4931273820106929, bagging_freq=8, boosting_type=dart, learning_rate=0.007590910460748013, max_bin=128, min_data_in_leaf=18, n_estimators=259, score=-5672.078, total= 0.9s [CV] bagging_fraction=0.6237316819452027, bagging_freq=8, boosting_type=gbdt, learning_rate=0.04626744411259119, max_bin=139, min_data_in_leaf=14, n_estimators=269 [LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14 [LightGBM] [Warning] bagging_fraction is set=0.6237316819452027, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6237316819452027 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6237316819452027, bagging_freq=8, boosting_type=gbdt, learning_rate=0.04626744411259119, max_bin=139, min_data_in_leaf=14, n_estimators=269, score=-2165.542, total= 0.6s [CV] bagging_fraction=0.6237316819452027, bagging_freq=8, boosting_type=gbdt, learning_rate=0.04626744411259119, max_bin=139, min_data_in_leaf=14, n_estimators=269 [LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14 [LightGBM] [Warning] bagging_fraction is set=0.6237316819452027, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6237316819452027 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6237316819452027, bagging_freq=8, boosting_type=gbdt, learning_rate=0.04626744411259119, max_bin=139, min_data_in_leaf=14, n_estimators=269, score=-2392.061, total= 0.8s [CV] bagging_fraction=0.6237316819452027, bagging_freq=8, boosting_type=gbdt, learning_rate=0.04626744411259119, max_bin=139, min_data_in_leaf=14, n_estimators=269 [LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14 [LightGBM] [Warning] bagging_fraction is set=0.6237316819452027, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6237316819452027 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6237316819452027, bagging_freq=8, boosting_type=gbdt, learning_rate=0.04626744411259119, max_bin=139, min_data_in_leaf=14, n_estimators=269, score=-1948.461, total= 0.9s [CV] bagging_fraction=0.6237316819452027, bagging_freq=8, boosting_type=gbdt, learning_rate=0.04626744411259119, max_bin=139, min_data_in_leaf=14, n_estimators=269 [LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14 [LightGBM] [Warning] bagging_fraction is set=0.6237316819452027, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6237316819452027 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6237316819452027, bagging_freq=8, boosting_type=gbdt, learning_rate=0.04626744411259119, max_bin=139, min_data_in_leaf=14, n_estimators=269, score=-1693.392, total= 0.9s [CV] bagging_fraction=0.24431510779937227, bagging_freq=6, boosting_type=dart, learning_rate=0.019731384085998196, max_bin=69, min_data_in_leaf=16, n_estimators=226 [LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16 [LightGBM] [Warning] bagging_fraction is set=0.24431510779937227, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24431510779937227 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.24431510779937227, bagging_freq=6, boosting_type=dart, learning_rate=0.019731384085998196, max_bin=69, min_data_in_leaf=16, n_estimators=226, score=-4098.524, total= 1.4s [CV] bagging_fraction=0.24431510779937227, bagging_freq=6, boosting_type=dart, learning_rate=0.019731384085998196, max_bin=69, min_data_in_leaf=16, n_estimators=226 [LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16 [LightGBM] [Warning] bagging_fraction is set=0.24431510779937227, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24431510779937227 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.24431510779937227, bagging_freq=6, boosting_type=dart, learning_rate=0.019731384085998196, max_bin=69, min_data_in_leaf=16, n_estimators=226, score=-4673.306, total= 0.7s [CV] bagging_fraction=0.24431510779937227, bagging_freq=6, boosting_type=dart, learning_rate=0.019731384085998196, max_bin=69, min_data_in_leaf=16, n_estimators=226 [LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16 [LightGBM] [Warning] bagging_fraction is set=0.24431510779937227, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24431510779937227 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.24431510779937227, bagging_freq=6, boosting_type=dart, learning_rate=0.019731384085998196, max_bin=69, min_data_in_leaf=16, n_estimators=226, score=-4195.061, total= 0.8s [CV] bagging_fraction=0.24431510779937227, bagging_freq=6, boosting_type=dart, learning_rate=0.019731384085998196, max_bin=69, min_data_in_leaf=16, n_estimators=226 [LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16 [LightGBM] [Warning] bagging_fraction is set=0.24431510779937227, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24431510779937227 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.24431510779937227, bagging_freq=6, boosting_type=dart, learning_rate=0.019731384085998196, max_bin=69, min_data_in_leaf=16, n_estimators=226, score=-3839.559, total= 0.9s [CV] bagging_fraction=0.34261155618297534, bagging_freq=7, boosting_type=gbdt, learning_rate=0.055422988503629374, max_bin=41, min_data_in_leaf=11, n_estimators=320 [LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11 [LightGBM] [Warning] bagging_fraction is set=0.34261155618297534, subsample=1.0 will be ignored. Current value: bagging_fraction=0.34261155618297534 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.34261155618297534, bagging_freq=7, boosting_type=gbdt, learning_rate=0.055422988503629374, max_bin=41, min_data_in_leaf=11, n_estimators=320, score=-2074.900, total= 0.9s [CV] bagging_fraction=0.34261155618297534, bagging_freq=7, boosting_type=gbdt, learning_rate=0.055422988503629374, max_bin=41, min_data_in_leaf=11, n_estimators=320 [LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11 [LightGBM] [Warning] bagging_fraction is set=0.34261155618297534, subsample=1.0 will be ignored. Current value: bagging_fraction=0.34261155618297534 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.34261155618297534, bagging_freq=7, boosting_type=gbdt, learning_rate=0.055422988503629374, max_bin=41, min_data_in_leaf=11, n_estimators=320, score=-2498.353, total= 0.7s [CV] bagging_fraction=0.34261155618297534, bagging_freq=7, boosting_type=gbdt, learning_rate=0.055422988503629374, max_bin=41, min_data_in_leaf=11, n_estimators=320 [LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11 [LightGBM] [Warning] bagging_fraction is set=0.34261155618297534, subsample=1.0 will be ignored. Current value: bagging_fraction=0.34261155618297534 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.34261155618297534, bagging_freq=7, boosting_type=gbdt, learning_rate=0.055422988503629374, max_bin=41, min_data_in_leaf=11, n_estimators=320, score=-1993.969, total= 0.6s [CV] bagging_fraction=0.34261155618297534, bagging_freq=7, boosting_type=gbdt, learning_rate=0.055422988503629374, max_bin=41, min_data_in_leaf=11, n_estimators=320 [LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11 [LightGBM] [Warning] bagging_fraction is set=0.34261155618297534, subsample=1.0 will be ignored. Current value: bagging_fraction=0.34261155618297534 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.34261155618297534, bagging_freq=7, boosting_type=gbdt, learning_rate=0.055422988503629374, max_bin=41, min_data_in_leaf=11, n_estimators=320, score=-1755.091, total= 0.7s [CV] bagging_fraction=0.6496114306743039, bagging_freq=4, boosting_type=dart, learning_rate=0.09050274063870907, max_bin=123, min_data_in_leaf=30, n_estimators=281 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.6496114306743039, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6496114306743039 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6496114306743039, bagging_freq=4, boosting_type=dart, learning_rate=0.09050274063870907, max_bin=123, min_data_in_leaf=30, n_estimators=281, score=-2270.716, total= 1.1s [CV] bagging_fraction=0.6496114306743039, bagging_freq=4, boosting_type=dart, learning_rate=0.09050274063870907, max_bin=123, min_data_in_leaf=30, n_estimators=281 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.6496114306743039, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6496114306743039 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6496114306743039, bagging_freq=4, boosting_type=dart, learning_rate=0.09050274063870907, max_bin=123, min_data_in_leaf=30, n_estimators=281, score=-2718.085, total= 1.1s [CV] bagging_fraction=0.6496114306743039, bagging_freq=4, boosting_type=dart, learning_rate=0.09050274063870907, max_bin=123, min_data_in_leaf=30, n_estimators=281 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.6496114306743039, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6496114306743039 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6496114306743039, bagging_freq=4, boosting_type=dart, learning_rate=0.09050274063870907, max_bin=123, min_data_in_leaf=30, n_estimators=281, score=-2258.981, total= 0.8s [CV] bagging_fraction=0.6496114306743039, bagging_freq=4, boosting_type=dart, learning_rate=0.09050274063870907, max_bin=123, min_data_in_leaf=30, n_estimators=281 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.6496114306743039, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6496114306743039 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6496114306743039, bagging_freq=4, boosting_type=dart, learning_rate=0.09050274063870907, max_bin=123, min_data_in_leaf=30, n_estimators=281, score=-1935.568, total= 1.1s [CV] bagging_fraction=0.45111259989844205, bagging_freq=9, boosting_type=dart, learning_rate=0.01180127785394013, max_bin=140, min_data_in_leaf=26, n_estimators=302 [LightGBM] [Warning] min_data_in_leaf is set=26, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=26 [LightGBM] [Warning] bagging_fraction is set=0.45111259989844205, subsample=1.0 will be ignored. Current value: bagging_fraction=0.45111259989844205 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.45111259989844205, bagging_freq=9, boosting_type=dart, learning_rate=0.01180127785394013, max_bin=140, min_data_in_leaf=26, n_estimators=302, score=-5120.519, total= 0.8s [CV] bagging_fraction=0.45111259989844205, bagging_freq=9, boosting_type=dart, learning_rate=0.01180127785394013, max_bin=140, min_data_in_leaf=26, n_estimators=302 [LightGBM] [Warning] min_data_in_leaf is set=26, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=26 [LightGBM] [Warning] bagging_fraction is set=0.45111259989844205, subsample=1.0 will be ignored. Current value: bagging_fraction=0.45111259989844205 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.45111259989844205, bagging_freq=9, boosting_type=dart, learning_rate=0.01180127785394013, max_bin=140, min_data_in_leaf=26, n_estimators=302, score=-5678.946, total= 0.8s [CV] bagging_fraction=0.45111259989844205, bagging_freq=9, boosting_type=dart, learning_rate=0.01180127785394013, max_bin=140, min_data_in_leaf=26, n_estimators=302 [LightGBM] [Warning] min_data_in_leaf is set=26, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=26 [LightGBM] [Warning] bagging_fraction is set=0.45111259989844205, subsample=1.0 will be ignored. Current value: bagging_fraction=0.45111259989844205 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.45111259989844205, bagging_freq=9, boosting_type=dart, learning_rate=0.01180127785394013, max_bin=140, min_data_in_leaf=26, n_estimators=302, score=-5199.568, total= 0.8s [CV] bagging_fraction=0.45111259989844205, bagging_freq=9, boosting_type=dart, learning_rate=0.01180127785394013, max_bin=140, min_data_in_leaf=26, n_estimators=302 [LightGBM] [Warning] min_data_in_leaf is set=26, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=26 [LightGBM] [Warning] bagging_fraction is set=0.45111259989844205, subsample=1.0 will be ignored. Current value: bagging_fraction=0.45111259989844205 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.45111259989844205, bagging_freq=9, boosting_type=dart, learning_rate=0.01180127785394013, max_bin=140, min_data_in_leaf=26, n_estimators=302, score=-4878.138, total= 0.8s [CV] bagging_fraction=0.6069301465772307, bagging_freq=9, boosting_type=dart, learning_rate=0.010774662679757897, max_bin=135, min_data_in_leaf=49, n_estimators=158 [LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49 [LightGBM] [Warning] bagging_fraction is set=0.6069301465772307, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6069301465772307 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6069301465772307, bagging_freq=9, boosting_type=dart, learning_rate=0.010774662679757897, max_bin=135, min_data_in_leaf=49, n_estimators=158, score=-5321.998, total= 1.3s [CV] bagging_fraction=0.6069301465772307, bagging_freq=9, boosting_type=dart, learning_rate=0.010774662679757897, max_bin=135, min_data_in_leaf=49, n_estimators=158 [LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49 [LightGBM] [Warning] bagging_fraction is set=0.6069301465772307, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6069301465772307 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6069301465772307, bagging_freq=9, boosting_type=dart, learning_rate=0.010774662679757897, max_bin=135, min_data_in_leaf=49, n_estimators=158, score=-5875.068, total= 0.7s [CV] bagging_fraction=0.6069301465772307, bagging_freq=9, boosting_type=dart, learning_rate=0.010774662679757897, max_bin=135, min_data_in_leaf=49, n_estimators=158 [LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49 [LightGBM] [Warning] bagging_fraction is set=0.6069301465772307, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6069301465772307 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6069301465772307, bagging_freq=9, boosting_type=dart, learning_rate=0.010774662679757897, max_bin=135, min_data_in_leaf=49, n_estimators=158, score=-5408.165, total= 1.1s [CV] bagging_fraction=0.6069301465772307, bagging_freq=9, boosting_type=dart, learning_rate=0.010774662679757897, max_bin=135, min_data_in_leaf=49, n_estimators=158 [LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49 [LightGBM] [Warning] bagging_fraction is set=0.6069301465772307, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6069301465772307 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6069301465772307, bagging_freq=9, boosting_type=dart, learning_rate=0.010774662679757897, max_bin=135, min_data_in_leaf=49, n_estimators=158, score=-5093.239, total= 0.7s [CV] bagging_fraction=0.5775218572137993, bagging_freq=6, boosting_type=dart, learning_rate=0.0241864968955674, max_bin=147, min_data_in_leaf=44, n_estimators=300 [LightGBM] [Warning] min_data_in_leaf is set=44, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=44 [LightGBM] [Warning] bagging_fraction is set=0.5775218572137993, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5775218572137993 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5775218572137993, bagging_freq=6, boosting_type=dart, learning_rate=0.0241864968955674, max_bin=147, min_data_in_leaf=44, n_estimators=300, score=-3740.077, total= 0.9s [CV] bagging_fraction=0.5775218572137993, bagging_freq=6, boosting_type=dart, learning_rate=0.0241864968955674, max_bin=147, min_data_in_leaf=44, n_estimators=300 [LightGBM] [Warning] min_data_in_leaf is set=44, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=44 [LightGBM] [Warning] bagging_fraction is set=0.5775218572137993, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5775218572137993 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5775218572137993, bagging_freq=6, boosting_type=dart, learning_rate=0.0241864968955674, max_bin=147, min_data_in_leaf=44, n_estimators=300, score=-4358.614, total= 0.7s [CV] bagging_fraction=0.5775218572137993, bagging_freq=6, boosting_type=dart, learning_rate=0.0241864968955674, max_bin=147, min_data_in_leaf=44, n_estimators=300 [LightGBM] [Warning] min_data_in_leaf is set=44, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=44 [LightGBM] [Warning] bagging_fraction is set=0.5775218572137993, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5775218572137993 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5775218572137993, bagging_freq=6, boosting_type=dart, learning_rate=0.0241864968955674, max_bin=147, min_data_in_leaf=44, n_estimators=300, score=-3842.930, total= 0.9s [CV] bagging_fraction=0.5775218572137993, bagging_freq=6, boosting_type=dart, learning_rate=0.0241864968955674, max_bin=147, min_data_in_leaf=44, n_estimators=300 [LightGBM] [Warning] min_data_in_leaf is set=44, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=44 [LightGBM] [Warning] bagging_fraction is set=0.5775218572137993, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5775218572137993 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5775218572137993, bagging_freq=6, boosting_type=dart, learning_rate=0.0241864968955674, max_bin=147, min_data_in_leaf=44, n_estimators=300, score=-3444.701, total= 0.8s [CV] bagging_fraction=0.5401994999760531, bagging_freq=8, boosting_type=dart, learning_rate=0.06622790827638048, max_bin=175, min_data_in_leaf=24, n_estimators=241 [LightGBM] [Warning] min_data_in_leaf is set=24, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=24 [LightGBM] [Warning] bagging_fraction is set=0.5401994999760531, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5401994999760531 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5401994999760531, bagging_freq=8, boosting_type=dart, learning_rate=0.06622790827638048, max_bin=175, min_data_in_leaf=24, n_estimators=241, score=-2413.445, total= 0.9s [CV] bagging_fraction=0.5401994999760531, bagging_freq=8, boosting_type=dart, learning_rate=0.06622790827638048, max_bin=175, min_data_in_leaf=24, n_estimators=241 [LightGBM] [Warning] min_data_in_leaf is set=24, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=24 [LightGBM] [Warning] bagging_fraction is set=0.5401994999760531, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5401994999760531 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5401994999760531, bagging_freq=8, boosting_type=dart, learning_rate=0.06622790827638048, max_bin=175, min_data_in_leaf=24, n_estimators=241, score=-2907.554, total= 1.2s [CV] bagging_fraction=0.5401994999760531, bagging_freq=8, boosting_type=dart, learning_rate=0.06622790827638048, max_bin=175, min_data_in_leaf=24, n_estimators=241 [LightGBM] [Warning] min_data_in_leaf is set=24, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=24 [LightGBM] [Warning] bagging_fraction is set=0.5401994999760531, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5401994999760531 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5401994999760531, bagging_freq=8, boosting_type=dart, learning_rate=0.06622790827638048, max_bin=175, min_data_in_leaf=24, n_estimators=241, score=-2413.669, total= 1.0s [CV] bagging_fraction=0.5401994999760531, bagging_freq=8, boosting_type=dart, learning_rate=0.06622790827638048, max_bin=175, min_data_in_leaf=24, n_estimators=241 [LightGBM] [Warning] min_data_in_leaf is set=24, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=24 [LightGBM] [Warning] bagging_fraction is set=0.5401994999760531, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5401994999760531 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5401994999760531, bagging_freq=8, boosting_type=dart, learning_rate=0.06622790827638048, max_bin=175, min_data_in_leaf=24, n_estimators=241, score=-2078.611, total= 1.1s [CV] bagging_fraction=0.6686622760344098, bagging_freq=9, boosting_type=dart, learning_rate=0.04175580507337046, max_bin=97, min_data_in_leaf=22, n_estimators=183 [LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22 [LightGBM] [Warning] bagging_fraction is set=0.6686622760344098, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6686622760344098 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6686622760344098, bagging_freq=9, boosting_type=dart, learning_rate=0.04175580507337046, max_bin=97, min_data_in_leaf=22, n_estimators=183, score=-2769.463, total= 0.8s [CV] bagging_fraction=0.6686622760344098, bagging_freq=9, boosting_type=dart, learning_rate=0.04175580507337046, max_bin=97, min_data_in_leaf=22, n_estimators=183 [LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22 [LightGBM] [Warning] bagging_fraction is set=0.6686622760344098, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6686622760344098 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6686622760344098, bagging_freq=9, boosting_type=dart, learning_rate=0.04175580507337046, max_bin=97, min_data_in_leaf=22, n_estimators=183, score=-3254.628, total= 1.0s [CV] bagging_fraction=0.6686622760344098, bagging_freq=9, boosting_type=dart, learning_rate=0.04175580507337046, max_bin=97, min_data_in_leaf=22, n_estimators=183 [LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22 [LightGBM] [Warning] bagging_fraction is set=0.6686622760344098, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6686622760344098 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6686622760344098, bagging_freq=9, boosting_type=dart, learning_rate=0.04175580507337046, max_bin=97, min_data_in_leaf=22, n_estimators=183, score=-2792.346, total= 2.1s [CV] bagging_fraction=0.6686622760344098, bagging_freq=9, boosting_type=dart, learning_rate=0.04175580507337046, max_bin=97, min_data_in_leaf=22, n_estimators=183 [LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22 [LightGBM] [Warning] bagging_fraction is set=0.6686622760344098, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6686622760344098 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6686622760344098, bagging_freq=9, boosting_type=dart, learning_rate=0.04175580507337046, max_bin=97, min_data_in_leaf=22, n_estimators=183, score=-2431.355, total= 1.1s [CV] bagging_fraction=0.270241920448764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04281818543255046, max_bin=157, min_data_in_leaf=34, n_estimators=196 [LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34 [LightGBM] [Warning] bagging_fraction is set=0.270241920448764, subsample=1.0 will be ignored. Current value: bagging_fraction=0.270241920448764 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.270241920448764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04281818543255046, max_bin=157, min_data_in_leaf=34, n_estimators=196, score=-2357.114, total= 0.3s [CV] bagging_fraction=0.270241920448764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04281818543255046, max_bin=157, min_data_in_leaf=34, n_estimators=196 [LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34 [LightGBM] [Warning] bagging_fraction is set=0.270241920448764, subsample=1.0 will be ignored. Current value: bagging_fraction=0.270241920448764 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.270241920448764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04281818543255046, max_bin=157, min_data_in_leaf=34, n_estimators=196, score=-2897.510, total= 0.3s [CV] bagging_fraction=0.270241920448764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04281818543255046, max_bin=157, min_data_in_leaf=34, n_estimators=196 [LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34 [LightGBM] [Warning] bagging_fraction is set=0.270241920448764, subsample=1.0 will be ignored. Current value: bagging_fraction=0.270241920448764 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.270241920448764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04281818543255046, max_bin=157, min_data_in_leaf=34, n_estimators=196, score=-2415.782, total= 0.3s [CV] bagging_fraction=0.270241920448764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04281818543255046, max_bin=157, min_data_in_leaf=34, n_estimators=196 [LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34 [LightGBM] [Warning] bagging_fraction is set=0.270241920448764, subsample=1.0 will be ignored. Current value: bagging_fraction=0.270241920448764 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.270241920448764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04281818543255046, max_bin=157, min_data_in_leaf=34, n_estimators=196, score=-2120.000, total= 0.3s [CV] bagging_fraction=0.5816795189378653, bagging_freq=5, boosting_type=dart, learning_rate=0.036661816137873365, max_bin=94, min_data_in_leaf=17, n_estimators=258 [LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17 [LightGBM] [Warning] bagging_fraction is set=0.5816795189378653, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5816795189378653 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5816795189378653, bagging_freq=5, boosting_type=dart, learning_rate=0.036661816137873365, max_bin=94, min_data_in_leaf=17, n_estimators=258, score=-2979.313, total= 0.8s [CV] bagging_fraction=0.5816795189378653, bagging_freq=5, boosting_type=dart, learning_rate=0.036661816137873365, max_bin=94, min_data_in_leaf=17, n_estimators=258 [LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17 [LightGBM] [Warning] bagging_fraction is set=0.5816795189378653, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5816795189378653 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5816795189378653, bagging_freq=5, boosting_type=dart, learning_rate=0.036661816137873365, max_bin=94, min_data_in_leaf=17, n_estimators=258, score=-3394.420, total= 0.9s [CV] bagging_fraction=0.5816795189378653, bagging_freq=5, boosting_type=dart, learning_rate=0.036661816137873365, max_bin=94, min_data_in_leaf=17, n_estimators=258 [LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17 [LightGBM] [Warning] bagging_fraction is set=0.5816795189378653, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5816795189378653 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5816795189378653, bagging_freq=5, boosting_type=dart, learning_rate=0.036661816137873365, max_bin=94, min_data_in_leaf=17, n_estimators=258, score=-2972.073, total= 0.8s [CV] bagging_fraction=0.5816795189378653, bagging_freq=5, boosting_type=dart, learning_rate=0.036661816137873365, max_bin=94, min_data_in_leaf=17, n_estimators=258 [LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17 [LightGBM] [Warning] bagging_fraction is set=0.5816795189378653, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5816795189378653 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5816795189378653, bagging_freq=5, boosting_type=dart, learning_rate=0.036661816137873365, max_bin=94, min_data_in_leaf=17, n_estimators=258, score=-2594.699, total= 1.1s [CV] bagging_fraction=0.6742641496754607, bagging_freq=9, boosting_type=dart, learning_rate=0.05883442585091733, max_bin=71, min_data_in_leaf=25, n_estimators=330 [LightGBM] [Warning] min_data_in_leaf is set=25, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=25 [LightGBM] [Warning] bagging_fraction is set=0.6742641496754607, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6742641496754607 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6742641496754607, bagging_freq=9, boosting_type=dart, learning_rate=0.05883442585091733, max_bin=71, min_data_in_leaf=25, n_estimators=330, score=-2487.975, total= 0.9s [CV] bagging_fraction=0.6742641496754607, bagging_freq=9, boosting_type=dart, learning_rate=0.05883442585091733, max_bin=71, min_data_in_leaf=25, n_estimators=330 [LightGBM] [Warning] min_data_in_leaf is set=25, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=25 [LightGBM] [Warning] bagging_fraction is set=0.6742641496754607, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6742641496754607 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6742641496754607, bagging_freq=9, boosting_type=dart, learning_rate=0.05883442585091733, max_bin=71, min_data_in_leaf=25, n_estimators=330, score=-2924.429, total= 0.9s [CV] bagging_fraction=0.6742641496754607, bagging_freq=9, boosting_type=dart, learning_rate=0.05883442585091733, max_bin=71, min_data_in_leaf=25, n_estimators=330 [LightGBM] [Warning] min_data_in_leaf is set=25, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=25 [LightGBM] [Warning] bagging_fraction is set=0.6742641496754607, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6742641496754607 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6742641496754607, bagging_freq=9, boosting_type=dart, learning_rate=0.05883442585091733, max_bin=71, min_data_in_leaf=25, n_estimators=330, score=-2455.817, total= 0.9s [CV] bagging_fraction=0.6742641496754607, bagging_freq=9, boosting_type=dart, learning_rate=0.05883442585091733, max_bin=71, min_data_in_leaf=25, n_estimators=330 [LightGBM] [Warning] min_data_in_leaf is set=25, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=25 [LightGBM] [Warning] bagging_fraction is set=0.6742641496754607, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6742641496754607 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6742641496754607, bagging_freq=9, boosting_type=dart, learning_rate=0.05883442585091733, max_bin=71, min_data_in_leaf=25, n_estimators=330, score=-2145.335, total= 0.9s [CV] bagging_fraction=0.5054584850964887, bagging_freq=4, boosting_type=dart, learning_rate=0.04168193202367466, max_bin=133, min_data_in_leaf=20, n_estimators=246 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.5054584850964887, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5054584850964887 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5054584850964887, bagging_freq=4, boosting_type=dart, learning_rate=0.04168193202367466, max_bin=133, min_data_in_leaf=20, n_estimators=246, score=-2771.733, total= 0.8s [CV] bagging_fraction=0.5054584850964887, bagging_freq=4, boosting_type=dart, learning_rate=0.04168193202367466, max_bin=133, min_data_in_leaf=20, n_estimators=246 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.5054584850964887, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5054584850964887 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5054584850964887, bagging_freq=4, boosting_type=dart, learning_rate=0.04168193202367466, max_bin=133, min_data_in_leaf=20, n_estimators=246, score=-3318.167, total= 0.8s [CV] bagging_fraction=0.5054584850964887, bagging_freq=4, boosting_type=dart, learning_rate=0.04168193202367466, max_bin=133, min_data_in_leaf=20, n_estimators=246 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.5054584850964887, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5054584850964887 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5054584850964887, bagging_freq=4, boosting_type=dart, learning_rate=0.04168193202367466, max_bin=133, min_data_in_leaf=20, n_estimators=246, score=-2820.767, total= 0.9s [CV] bagging_fraction=0.5054584850964887, bagging_freq=4, boosting_type=dart, learning_rate=0.04168193202367466, max_bin=133, min_data_in_leaf=20, n_estimators=246 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.5054584850964887, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5054584850964887 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5054584850964887, bagging_freq=4, boosting_type=dart, learning_rate=0.04168193202367466, max_bin=133, min_data_in_leaf=20, n_estimators=246, score=-2466.200, total= 0.9s [CV] bagging_fraction=0.4500776886893994, bagging_freq=7, boosting_type=dart, learning_rate=0.024951893986745022, max_bin=71, min_data_in_leaf=41, n_estimators=277 [LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41 [LightGBM] [Warning] bagging_fraction is set=0.4500776886893994, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4500776886893994 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4500776886893994, bagging_freq=7, boosting_type=dart, learning_rate=0.024951893986745022, max_bin=71, min_data_in_leaf=41, n_estimators=277, score=-3745.998, total= 0.7s [CV] bagging_fraction=0.4500776886893994, bagging_freq=7, boosting_type=dart, learning_rate=0.024951893986745022, max_bin=71, min_data_in_leaf=41, n_estimators=277 [LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41 [LightGBM] [Warning] bagging_fraction is set=0.4500776886893994, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4500776886893994 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4500776886893994, bagging_freq=7, boosting_type=dart, learning_rate=0.024951893986745022, max_bin=71, min_data_in_leaf=41, n_estimators=277, score=-4342.453, total= 0.6s [CV] bagging_fraction=0.4500776886893994, bagging_freq=7, boosting_type=dart, learning_rate=0.024951893986745022, max_bin=71, min_data_in_leaf=41, n_estimators=277 [LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41 [LightGBM] [Warning] bagging_fraction is set=0.4500776886893994, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4500776886893994 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4500776886893994, bagging_freq=7, boosting_type=dart, learning_rate=0.024951893986745022, max_bin=71, min_data_in_leaf=41, n_estimators=277, score=-3831.858, total= 0.6s [CV] bagging_fraction=0.4500776886893994, bagging_freq=7, boosting_type=dart, learning_rate=0.024951893986745022, max_bin=71, min_data_in_leaf=41, n_estimators=277 [LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41 [LightGBM] [Warning] bagging_fraction is set=0.4500776886893994, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4500776886893994 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4500776886893994, bagging_freq=7, boosting_type=dart, learning_rate=0.024951893986745022, max_bin=71, min_data_in_leaf=41, n_estimators=277, score=-3421.387, total= 0.7s [CV] bagging_fraction=0.5091806717822311, bagging_freq=9, boosting_type=gbdt, learning_rate=0.07948182119212889, max_bin=178, min_data_in_leaf=12, n_estimators=320 [LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12 [LightGBM] [Warning] bagging_fraction is set=0.5091806717822311, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5091806717822311 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5091806717822311, bagging_freq=9, boosting_type=gbdt, learning_rate=0.07948182119212889, max_bin=178, min_data_in_leaf=12, n_estimators=320, score=-2246.637, total= 0.6s [CV] bagging_fraction=0.5091806717822311, bagging_freq=9, boosting_type=gbdt, learning_rate=0.07948182119212889, max_bin=178, min_data_in_leaf=12, n_estimators=320 [LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12 [LightGBM] [Warning] bagging_fraction is set=0.5091806717822311, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5091806717822311 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5091806717822311, bagging_freq=9, boosting_type=gbdt, learning_rate=0.07948182119212889, max_bin=178, min_data_in_leaf=12, n_estimators=320, score=-2438.770, total= 0.5s [CV] bagging_fraction=0.5091806717822311, bagging_freq=9, boosting_type=gbdt, learning_rate=0.07948182119212889, max_bin=178, min_data_in_leaf=12, n_estimators=320 [LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12 [LightGBM] [Warning] bagging_fraction is set=0.5091806717822311, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5091806717822311 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5091806717822311, bagging_freq=9, boosting_type=gbdt, learning_rate=0.07948182119212889, max_bin=178, min_data_in_leaf=12, n_estimators=320, score=-1908.972, total= 0.7s [CV] bagging_fraction=0.5091806717822311, bagging_freq=9, boosting_type=gbdt, learning_rate=0.07948182119212889, max_bin=178, min_data_in_leaf=12, n_estimators=320 [LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12 [LightGBM] [Warning] bagging_fraction is set=0.5091806717822311, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5091806717822311 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5091806717822311, bagging_freq=9, boosting_type=gbdt, learning_rate=0.07948182119212889, max_bin=178, min_data_in_leaf=12, n_estimators=320, score=-1682.544, total= 0.6s [CV] bagging_fraction=0.5331988656321559, bagging_freq=7, boosting_type=dart, learning_rate=0.04285123464108593, max_bin=77, min_data_in_leaf=47, n_estimators=286 [LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47 [LightGBM] [Warning] bagging_fraction is set=0.5331988656321559, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5331988656321559 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5331988656321559, bagging_freq=7, boosting_type=dart, learning_rate=0.04285123464108593, max_bin=77, min_data_in_leaf=47, n_estimators=286, score=-2915.173, total= 0.6s [CV] bagging_fraction=0.5331988656321559, bagging_freq=7, boosting_type=dart, learning_rate=0.04285123464108593, max_bin=77, min_data_in_leaf=47, n_estimators=286 [LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47 [LightGBM] [Warning] bagging_fraction is set=0.5331988656321559, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5331988656321559 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5331988656321559, bagging_freq=7, boosting_type=dart, learning_rate=0.04285123464108593, max_bin=77, min_data_in_leaf=47, n_estimators=286, score=-3519.567, total= 0.6s [CV] bagging_fraction=0.5331988656321559, bagging_freq=7, boosting_type=dart, learning_rate=0.04285123464108593, max_bin=77, min_data_in_leaf=47, n_estimators=286 [LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47 [LightGBM] [Warning] bagging_fraction is set=0.5331988656321559, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5331988656321559 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5331988656321559, bagging_freq=7, boosting_type=dart, learning_rate=0.04285123464108593, max_bin=77, min_data_in_leaf=47, n_estimators=286, score=-3028.641, total= 0.7s [CV] bagging_fraction=0.5331988656321559, bagging_freq=7, boosting_type=dart, learning_rate=0.04285123464108593, max_bin=77, min_data_in_leaf=47, n_estimators=286 [LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47 [LightGBM] [Warning] bagging_fraction is set=0.5331988656321559, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5331988656321559 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5331988656321559, bagging_freq=7, boosting_type=dart, learning_rate=0.04285123464108593, max_bin=77, min_data_in_leaf=47, n_estimators=286, score=-2592.383, total= 0.6s [CV] bagging_fraction=0.6314653596943218, bagging_freq=7, boosting_type=dart, learning_rate=0.07138655037508991, max_bin=164, min_data_in_leaf=46, n_estimators=225 [LightGBM] [Warning] min_data_in_leaf is set=46, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=46 [LightGBM] [Warning] bagging_fraction is set=0.6314653596943218, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6314653596943218 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6314653596943218, bagging_freq=7, boosting_type=dart, learning_rate=0.07138655037508991, max_bin=164, min_data_in_leaf=46, n_estimators=225, score=-2457.689, total= 0.7s [CV] bagging_fraction=0.6314653596943218, bagging_freq=7, boosting_type=dart, learning_rate=0.07138655037508991, max_bin=164, min_data_in_leaf=46, n_estimators=225 [LightGBM] [Warning] min_data_in_leaf is set=46, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=46 [LightGBM] [Warning] bagging_fraction is set=0.6314653596943218, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6314653596943218 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6314653596943218, bagging_freq=7, boosting_type=dart, learning_rate=0.07138655037508991, max_bin=164, min_data_in_leaf=46, n_estimators=225, score=-2994.253, total= 0.8s [CV] bagging_fraction=0.6314653596943218, bagging_freq=7, boosting_type=dart, learning_rate=0.07138655037508991, max_bin=164, min_data_in_leaf=46, n_estimators=225 [LightGBM] [Warning] min_data_in_leaf is set=46, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=46 [LightGBM] [Warning] bagging_fraction is set=0.6314653596943218, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6314653596943218 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6314653596943218, bagging_freq=7, boosting_type=dart, learning_rate=0.07138655037508991, max_bin=164, min_data_in_leaf=46, n_estimators=225, score=-2538.044, total= 0.6s [CV] bagging_fraction=0.6314653596943218, bagging_freq=7, boosting_type=dart, learning_rate=0.07138655037508991, max_bin=164, min_data_in_leaf=46, n_estimators=225 [LightGBM] [Warning] min_data_in_leaf is set=46, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=46 [LightGBM] [Warning] bagging_fraction is set=0.6314653596943218, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6314653596943218 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6314653596943218, bagging_freq=7, boosting_type=dart, learning_rate=0.07138655037508991, max_bin=164, min_data_in_leaf=46, n_estimators=225, score=-2144.982, total= 0.8s [CV] bagging_fraction=0.21715202555660834, bagging_freq=9, boosting_type=gbdt, learning_rate=0.017914787383658516, max_bin=104, min_data_in_leaf=15, n_estimators=244 [LightGBM] [Warning] min_data_in_leaf is set=15, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=15 [LightGBM] [Warning] bagging_fraction is set=0.21715202555660834, subsample=1.0 will be ignored. Current value: bagging_fraction=0.21715202555660834 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.21715202555660834, bagging_freq=9, boosting_type=gbdt, learning_rate=0.017914787383658516, max_bin=104, min_data_in_leaf=15, n_estimators=244, score=-2368.729, total= 0.5s [CV] bagging_fraction=0.21715202555660834, bagging_freq=9, boosting_type=gbdt, learning_rate=0.017914787383658516, max_bin=104, min_data_in_leaf=15, n_estimators=244 [LightGBM] [Warning] min_data_in_leaf is set=15, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=15 [LightGBM] [Warning] bagging_fraction is set=0.21715202555660834, subsample=1.0 will be ignored. Current value: bagging_fraction=0.21715202555660834 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.21715202555660834, bagging_freq=9, boosting_type=gbdt, learning_rate=0.017914787383658516, max_bin=104, min_data_in_leaf=15, n_estimators=244, score=-3000.917, total= 0.4s [CV] bagging_fraction=0.21715202555660834, bagging_freq=9, boosting_type=gbdt, learning_rate=0.017914787383658516, max_bin=104, min_data_in_leaf=15, n_estimators=244 [LightGBM] [Warning] min_data_in_leaf is set=15, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=15 [LightGBM] [Warning] bagging_fraction is set=0.21715202555660834, subsample=1.0 will be ignored. Current value: bagging_fraction=0.21715202555660834 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.21715202555660834, bagging_freq=9, boosting_type=gbdt, learning_rate=0.017914787383658516, max_bin=104, min_data_in_leaf=15, n_estimators=244, score=-2489.798, total= 0.4s [CV] bagging_fraction=0.21715202555660834, bagging_freq=9, boosting_type=gbdt, learning_rate=0.017914787383658516, max_bin=104, min_data_in_leaf=15, n_estimators=244 [LightGBM] [Warning] min_data_in_leaf is set=15, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=15 [LightGBM] [Warning] bagging_fraction is set=0.21715202555660834, subsample=1.0 will be ignored. Current value: bagging_fraction=0.21715202555660834 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.21715202555660834, bagging_freq=9, boosting_type=gbdt, learning_rate=0.017914787383658516, max_bin=104, min_data_in_leaf=15, n_estimators=244, score=-2175.269, total= 0.5s [CV] bagging_fraction=0.6895518083151545, bagging_freq=5, boosting_type=dart, learning_rate=0.014056454162124577, max_bin=143, min_data_in_leaf=23, n_estimators=217 [LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23 [LightGBM] [Warning] bagging_fraction is set=0.6895518083151545, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6895518083151545 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6895518083151545, bagging_freq=5, boosting_type=dart, learning_rate=0.014056454162124577, max_bin=143, min_data_in_leaf=23, n_estimators=217, score=-4758.437, total= 1.2s [CV] bagging_fraction=0.6895518083151545, bagging_freq=5, boosting_type=dart, learning_rate=0.014056454162124577, max_bin=143, min_data_in_leaf=23, n_estimators=217 [LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23 [LightGBM] [Warning] bagging_fraction is set=0.6895518083151545, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6895518083151545 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6895518083151545, bagging_freq=5, boosting_type=dart, learning_rate=0.014056454162124577, max_bin=143, min_data_in_leaf=23, n_estimators=217, score=-5264.694, total= 1.4s [CV] bagging_fraction=0.6895518083151545, bagging_freq=5, boosting_type=dart, learning_rate=0.014056454162124577, max_bin=143, min_data_in_leaf=23, n_estimators=217 [LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23 [LightGBM] [Warning] bagging_fraction is set=0.6895518083151545, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6895518083151545 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6895518083151545, bagging_freq=5, boosting_type=dart, learning_rate=0.014056454162124577, max_bin=143, min_data_in_leaf=23, n_estimators=217, score=-4767.249, total= 1.0s [CV] bagging_fraction=0.6895518083151545, bagging_freq=5, boosting_type=dart, learning_rate=0.014056454162124577, max_bin=143, min_data_in_leaf=23, n_estimators=217 [LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23 [LightGBM] [Warning] bagging_fraction is set=0.6895518083151545, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6895518083151545 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6895518083151545, bagging_freq=5, boosting_type=dart, learning_rate=0.014056454162124577, max_bin=143, min_data_in_leaf=23, n_estimators=217, score=-4466.840, total= 1.3s [CV] bagging_fraction=0.4033979882489861, bagging_freq=8, boosting_type=dart, learning_rate=0.06004396019955694, max_bin=120, min_data_in_leaf=47, n_estimators=333 [LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47 [LightGBM] [Warning] bagging_fraction is set=0.4033979882489861, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4033979882489861 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4033979882489861, bagging_freq=8, boosting_type=dart, learning_rate=0.06004396019955694, max_bin=120, min_data_in_leaf=47, n_estimators=333, score=-2675.533, total= 0.6s [CV] bagging_fraction=0.4033979882489861, bagging_freq=8, boosting_type=dart, learning_rate=0.06004396019955694, max_bin=120, min_data_in_leaf=47, n_estimators=333 [LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47 [LightGBM] [Warning] bagging_fraction is set=0.4033979882489861, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4033979882489861 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4033979882489861, bagging_freq=8, boosting_type=dart, learning_rate=0.06004396019955694, max_bin=120, min_data_in_leaf=47, n_estimators=333, score=-3336.306, total= 0.7s [CV] bagging_fraction=0.4033979882489861, bagging_freq=8, boosting_type=dart, learning_rate=0.06004396019955694, max_bin=120, min_data_in_leaf=47, n_estimators=333 [LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47 [LightGBM] [Warning] bagging_fraction is set=0.4033979882489861, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4033979882489861 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4033979882489861, bagging_freq=8, boosting_type=dart, learning_rate=0.06004396019955694, max_bin=120, min_data_in_leaf=47, n_estimators=333, score=-2809.272, total= 1.0s [CV] bagging_fraction=0.4033979882489861, bagging_freq=8, boosting_type=dart, learning_rate=0.06004396019955694, max_bin=120, min_data_in_leaf=47, n_estimators=333 [LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47 [LightGBM] [Warning] bagging_fraction is set=0.4033979882489861, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4033979882489861 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4033979882489861, bagging_freq=8, boosting_type=dart, learning_rate=0.06004396019955694, max_bin=120, min_data_in_leaf=47, n_estimators=333, score=-2360.923, total= 0.8s [CV] bagging_fraction=0.5083151884358786, bagging_freq=4, boosting_type=dart, learning_rate=0.09030201820098523, max_bin=57, min_data_in_leaf=47, n_estimators=291 [LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47 [LightGBM] [Warning] bagging_fraction is set=0.5083151884358786, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5083151884358786 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5083151884358786, bagging_freq=4, boosting_type=dart, learning_rate=0.09030201820098523, max_bin=57, min_data_in_leaf=47, n_estimators=291, score=-2414.249, total= 1.1s [CV] bagging_fraction=0.5083151884358786, bagging_freq=4, boosting_type=dart, learning_rate=0.09030201820098523, max_bin=57, min_data_in_leaf=47, n_estimators=291 [LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47 [LightGBM] [Warning] bagging_fraction is set=0.5083151884358786, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5083151884358786 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5083151884358786, bagging_freq=4, boosting_type=dart, learning_rate=0.09030201820098523, max_bin=57, min_data_in_leaf=47, n_estimators=291, score=-2957.359, total= 1.0s [CV] bagging_fraction=0.5083151884358786, bagging_freq=4, boosting_type=dart, learning_rate=0.09030201820098523, max_bin=57, min_data_in_leaf=47, n_estimators=291 [LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47 [LightGBM] [Warning] bagging_fraction is set=0.5083151884358786, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5083151884358786 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5083151884358786, bagging_freq=4, boosting_type=dart, learning_rate=0.09030201820098523, max_bin=57, min_data_in_leaf=47, n_estimators=291, score=-2505.201, total= 1.2s [CV] bagging_fraction=0.5083151884358786, bagging_freq=4, boosting_type=dart, learning_rate=0.09030201820098523, max_bin=57, min_data_in_leaf=47, n_estimators=291 [LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47 [LightGBM] [Warning] bagging_fraction is set=0.5083151884358786, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5083151884358786 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5083151884358786, bagging_freq=4, boosting_type=dart, learning_rate=0.09030201820098523, max_bin=57, min_data_in_leaf=47, n_estimators=291, score=-2082.955, total= 0.6s [CV] bagging_fraction=0.6289078216800295, bagging_freq=7, boosting_type=dart, learning_rate=0.09967218785756686, max_bin=199, min_data_in_leaf=34, n_estimators=310 [LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34 [LightGBM] [Warning] bagging_fraction is set=0.6289078216800295, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6289078216800295 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6289078216800295, bagging_freq=7, boosting_type=dart, learning_rate=0.09967218785756686, max_bin=199, min_data_in_leaf=34, n_estimators=310, score=-2226.464, total= 1.1s [CV] bagging_fraction=0.6289078216800295, bagging_freq=7, boosting_type=dart, learning_rate=0.09967218785756686, max_bin=199, min_data_in_leaf=34, n_estimators=310 [LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34 [LightGBM] [Warning] bagging_fraction is set=0.6289078216800295, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6289078216800295 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6289078216800295, bagging_freq=7, boosting_type=dart, learning_rate=0.09967218785756686, max_bin=199, min_data_in_leaf=34, n_estimators=310, score=-2698.431, total= 0.9s [CV] bagging_fraction=0.6289078216800295, bagging_freq=7, boosting_type=dart, learning_rate=0.09967218785756686, max_bin=199, min_data_in_leaf=34, n_estimators=310 [LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34 [LightGBM] [Warning] bagging_fraction is set=0.6289078216800295, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6289078216800295 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6289078216800295, bagging_freq=7, boosting_type=dart, learning_rate=0.09967218785756686, max_bin=199, min_data_in_leaf=34, n_estimators=310, score=-2290.851, total= 1.0s [CV] bagging_fraction=0.6289078216800295, bagging_freq=7, boosting_type=dart, learning_rate=0.09967218785756686, max_bin=199, min_data_in_leaf=34, n_estimators=310 [LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34 [LightGBM] [Warning] bagging_fraction is set=0.6289078216800295, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6289078216800295 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6289078216800295, bagging_freq=7, boosting_type=dart, learning_rate=0.09967218785756686, max_bin=199, min_data_in_leaf=34, n_estimators=310, score=-1947.831, total= 1.1s [CV] bagging_fraction=0.28670397067324965, bagging_freq=6, boosting_type=gbdt, learning_rate=0.08699912188897642, max_bin=179, min_data_in_leaf=18, n_estimators=251 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] bagging_fraction is set=0.28670397067324965, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28670397067324965 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.28670397067324965, bagging_freq=6, boosting_type=gbdt, learning_rate=0.08699912188897642, max_bin=179, min_data_in_leaf=18, n_estimators=251, score=-2279.485, total= 0.6s [CV] bagging_fraction=0.28670397067324965, bagging_freq=6, boosting_type=gbdt, learning_rate=0.08699912188897642, max_bin=179, min_data_in_leaf=18, n_estimators=251 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] bagging_fraction is set=0.28670397067324965, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28670397067324965 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.28670397067324965, bagging_freq=6, boosting_type=gbdt, learning_rate=0.08699912188897642, max_bin=179, min_data_in_leaf=18, n_estimators=251, score=-2572.595, total= 0.4s [CV] bagging_fraction=0.28670397067324965, bagging_freq=6, boosting_type=gbdt, learning_rate=0.08699912188897642, max_bin=179, min_data_in_leaf=18, n_estimators=251 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] bagging_fraction is set=0.28670397067324965, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28670397067324965 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.28670397067324965, bagging_freq=6, boosting_type=gbdt, learning_rate=0.08699912188897642, max_bin=179, min_data_in_leaf=18, n_estimators=251, score=-2090.086, total= 0.5s [CV] bagging_fraction=0.28670397067324965, bagging_freq=6, boosting_type=gbdt, learning_rate=0.08699912188897642, max_bin=179, min_data_in_leaf=18, n_estimators=251 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] bagging_fraction is set=0.28670397067324965, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28670397067324965 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.28670397067324965, bagging_freq=6, boosting_type=gbdt, learning_rate=0.08699912188897642, max_bin=179, min_data_in_leaf=18, n_estimators=251, score=-1904.579, total= 0.6s [CV] bagging_fraction=0.2180848134832546, bagging_freq=5, boosting_type=dart, learning_rate=0.06644662116634467, max_bin=133, min_data_in_leaf=28, n_estimators=205 [LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28 [LightGBM] [Warning] bagging_fraction is set=0.2180848134832546, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2180848134832546 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2180848134832546, bagging_freq=5, boosting_type=dart, learning_rate=0.06644662116634467, max_bin=133, min_data_in_leaf=28, n_estimators=205, score=-2607.912, total= 0.5s [CV] bagging_fraction=0.2180848134832546, bagging_freq=5, boosting_type=dart, learning_rate=0.06644662116634467, max_bin=133, min_data_in_leaf=28, n_estimators=205 [LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28 [LightGBM] [Warning] bagging_fraction is set=0.2180848134832546, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2180848134832546 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2180848134832546, bagging_freq=5, boosting_type=dart, learning_rate=0.06644662116634467, max_bin=133, min_data_in_leaf=28, n_estimators=205, score=-3271.216, total= 0.5s [CV] bagging_fraction=0.2180848134832546, bagging_freq=5, boosting_type=dart, learning_rate=0.06644662116634467, max_bin=133, min_data_in_leaf=28, n_estimators=205 [LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28 [LightGBM] [Warning] bagging_fraction is set=0.2180848134832546, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2180848134832546 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2180848134832546, bagging_freq=5, boosting_type=dart, learning_rate=0.06644662116634467, max_bin=133, min_data_in_leaf=28, n_estimators=205, score=-2740.025, total= 0.5s [CV] bagging_fraction=0.2180848134832546, bagging_freq=5, boosting_type=dart, learning_rate=0.06644662116634467, max_bin=133, min_data_in_leaf=28, n_estimators=205 [LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28 [LightGBM] [Warning] bagging_fraction is set=0.2180848134832546, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2180848134832546 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2180848134832546, bagging_freq=5, boosting_type=dart, learning_rate=0.06644662116634467, max_bin=133, min_data_in_leaf=28, n_estimators=205, score=-2324.234, total= 0.9s [CV] bagging_fraction=0.6087184826846672, bagging_freq=7, boosting_type=dart, learning_rate=0.0011513044039851317, max_bin=60, min_data_in_leaf=12, n_estimators=326 [LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12 [LightGBM] [Warning] bagging_fraction is set=0.6087184826846672, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6087184826846672 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6087184826846672, bagging_freq=7, boosting_type=dart, learning_rate=0.0011513044039851317, max_bin=60, min_data_in_leaf=12, n_estimators=326, score=-7615.433, total= 0.9s [CV] bagging_fraction=0.6087184826846672, bagging_freq=7, boosting_type=dart, learning_rate=0.0011513044039851317, max_bin=60, min_data_in_leaf=12, n_estimators=326 [LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12 [LightGBM] [Warning] bagging_fraction is set=0.6087184826846672, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6087184826846672 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6087184826846672, bagging_freq=7, boosting_type=dart, learning_rate=0.0011513044039851317, max_bin=60, min_data_in_leaf=12, n_estimators=326, score=-8153.870, total= 1.1s [CV] bagging_fraction=0.6087184826846672, bagging_freq=7, boosting_type=dart, learning_rate=0.0011513044039851317, max_bin=60, min_data_in_leaf=12, n_estimators=326 [LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12 [LightGBM] [Warning] bagging_fraction is set=0.6087184826846672, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6087184826846672 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6087184826846672, bagging_freq=7, boosting_type=dart, learning_rate=0.0011513044039851317, max_bin=60, min_data_in_leaf=12, n_estimators=326, score=-7643.152, total= 0.8s [CV] bagging_fraction=0.6087184826846672, bagging_freq=7, boosting_type=dart, learning_rate=0.0011513044039851317, max_bin=60, min_data_in_leaf=12, n_estimators=326 [LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12 [LightGBM] [Warning] bagging_fraction is set=0.6087184826846672, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6087184826846672 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6087184826846672, bagging_freq=7, boosting_type=dart, learning_rate=0.0011513044039851317, max_bin=60, min_data_in_leaf=12, n_estimators=326, score=-7477.695, total= 1.0s [CV] bagging_fraction=0.38346761578099353, bagging_freq=7, boosting_type=gbdt, learning_rate=0.014482575005383348, max_bin=93, min_data_in_leaf=17, n_estimators=314 [LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17 [LightGBM] [Warning] bagging_fraction is set=0.38346761578099353, subsample=1.0 will be ignored. Current value: bagging_fraction=0.38346761578099353 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.38346761578099353, bagging_freq=7, boosting_type=gbdt, learning_rate=0.014482575005383348, max_bin=93, min_data_in_leaf=17, n_estimators=314, score=-2317.649, total= 0.5s [CV] bagging_fraction=0.38346761578099353, bagging_freq=7, boosting_type=gbdt, learning_rate=0.014482575005383348, max_bin=93, min_data_in_leaf=17, n_estimators=314 [LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17 [LightGBM] [Warning] bagging_fraction is set=0.38346761578099353, subsample=1.0 will be ignored. Current value: bagging_fraction=0.38346761578099353 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.38346761578099353, bagging_freq=7, boosting_type=gbdt, learning_rate=0.014482575005383348, max_bin=93, min_data_in_leaf=17, n_estimators=314, score=-2838.791, total= 0.5s [CV] bagging_fraction=0.38346761578099353, bagging_freq=7, boosting_type=gbdt, learning_rate=0.014482575005383348, max_bin=93, min_data_in_leaf=17, n_estimators=314 [LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17 [LightGBM] [Warning] bagging_fraction is set=0.38346761578099353, subsample=1.0 will be ignored. Current value: bagging_fraction=0.38346761578099353 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.38346761578099353, bagging_freq=7, boosting_type=gbdt, learning_rate=0.014482575005383348, max_bin=93, min_data_in_leaf=17, n_estimators=314, score=-2369.721, total= 0.5s [CV] bagging_fraction=0.38346761578099353, bagging_freq=7, boosting_type=gbdt, learning_rate=0.014482575005383348, max_bin=93, min_data_in_leaf=17, n_estimators=314 [LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17 [LightGBM] [Warning] bagging_fraction is set=0.38346761578099353, subsample=1.0 will be ignored. Current value: bagging_fraction=0.38346761578099353 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.38346761578099353, bagging_freq=7, boosting_type=gbdt, learning_rate=0.014482575005383348, max_bin=93, min_data_in_leaf=17, n_estimators=314, score=-2004.179, total= 0.7s [CV] bagging_fraction=0.5356474043623891, bagging_freq=8, boosting_type=gbdt, learning_rate=0.06940354439778793, max_bin=56, min_data_in_leaf=30, n_estimators=276 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.5356474043623891, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5356474043623891 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5356474043623891, bagging_freq=8, boosting_type=gbdt, learning_rate=0.06940354439778793, max_bin=56, min_data_in_leaf=30, n_estimators=276, score=-2258.261, total= 0.5s [CV] bagging_fraction=0.5356474043623891, bagging_freq=8, boosting_type=gbdt, learning_rate=0.06940354439778793, max_bin=56, min_data_in_leaf=30, n_estimators=276 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.5356474043623891, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5356474043623891 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5356474043623891, bagging_freq=8, boosting_type=gbdt, learning_rate=0.06940354439778793, max_bin=56, min_data_in_leaf=30, n_estimators=276, score=-2522.161, total= 0.4s [CV] bagging_fraction=0.5356474043623891, bagging_freq=8, boosting_type=gbdt, learning_rate=0.06940354439778793, max_bin=56, min_data_in_leaf=30, n_estimators=276 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.5356474043623891, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5356474043623891 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5356474043623891, bagging_freq=8, boosting_type=gbdt, learning_rate=0.06940354439778793, max_bin=56, min_data_in_leaf=30, n_estimators=276, score=-2094.790, total= 0.5s [CV] bagging_fraction=0.5356474043623891, bagging_freq=8, boosting_type=gbdt, learning_rate=0.06940354439778793, max_bin=56, min_data_in_leaf=30, n_estimators=276 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.5356474043623891, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5356474043623891 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5356474043623891, bagging_freq=8, boosting_type=gbdt, learning_rate=0.06940354439778793, max_bin=56, min_data_in_leaf=30, n_estimators=276, score=-1831.485, total= 0.5s [CV] bagging_fraction=0.6894977723593108, bagging_freq=4, boosting_type=dart, learning_rate=0.002284823578741679, max_bin=48, min_data_in_leaf=41, n_estimators=167 [LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41 [LightGBM] [Warning] bagging_fraction is set=0.6894977723593108, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6894977723593108 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6894977723593108, bagging_freq=4, boosting_type=dart, learning_rate=0.002284823578741679, max_bin=48, min_data_in_leaf=41, n_estimators=167, score=-7268.228, total= 0.7s [CV] bagging_fraction=0.6894977723593108, bagging_freq=4, boosting_type=dart, learning_rate=0.002284823578741679, max_bin=48, min_data_in_leaf=41, n_estimators=167 [LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41 [LightGBM] [Warning] bagging_fraction is set=0.6894977723593108, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6894977723593108 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6894977723593108, bagging_freq=4, boosting_type=dart, learning_rate=0.002284823578741679, max_bin=48, min_data_in_leaf=41, n_estimators=167, score=-7811.760, total= 0.8s [CV] bagging_fraction=0.6894977723593108, bagging_freq=4, boosting_type=dart, learning_rate=0.002284823578741679, max_bin=48, min_data_in_leaf=41, n_estimators=167 [LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41 [LightGBM] [Warning] bagging_fraction is set=0.6894977723593108, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6894977723593108 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6894977723593108, bagging_freq=4, boosting_type=dart, learning_rate=0.002284823578741679, max_bin=48, min_data_in_leaf=41, n_estimators=167, score=-7303.392, total= 0.9s [CV] bagging_fraction=0.6894977723593108, bagging_freq=4, boosting_type=dart, learning_rate=0.002284823578741679, max_bin=48, min_data_in_leaf=41, n_estimators=167 [LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41 [LightGBM] [Warning] bagging_fraction is set=0.6894977723593108, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6894977723593108 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6894977723593108, bagging_freq=4, boosting_type=dart, learning_rate=0.002284823578741679, max_bin=48, min_data_in_leaf=41, n_estimators=167, score=-7115.253, total= 0.7s [CV] bagging_fraction=0.28810636658218913, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09577074174270399, max_bin=140, min_data_in_leaf=30, n_estimators=221 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.28810636658218913, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28810636658218913 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.28810636658218913, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09577074174270399, max_bin=140, min_data_in_leaf=30, n_estimators=221, score=-2248.636, total= 0.4s [CV] bagging_fraction=0.28810636658218913, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09577074174270399, max_bin=140, min_data_in_leaf=30, n_estimators=221 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.28810636658218913, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28810636658218913 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.28810636658218913, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09577074174270399, max_bin=140, min_data_in_leaf=30, n_estimators=221, score=-2680.004, total= 0.4s [CV] bagging_fraction=0.28810636658218913, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09577074174270399, max_bin=140, min_data_in_leaf=30, n_estimators=221 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.28810636658218913, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28810636658218913 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.28810636658218913, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09577074174270399, max_bin=140, min_data_in_leaf=30, n_estimators=221, score=-2233.660, total= 0.3s [CV] bagging_fraction=0.28810636658218913, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09577074174270399, max_bin=140, min_data_in_leaf=30, n_estimators=221 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.28810636658218913, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28810636658218913 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.28810636658218913, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09577074174270399, max_bin=140, min_data_in_leaf=30, n_estimators=221, score=-1977.234, total= 0.3s [CV] bagging_fraction=0.24129033308491898, bagging_freq=9, boosting_type=dart, learning_rate=0.05147926439812621, max_bin=160, min_data_in_leaf=20, n_estimators=160 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.24129033308491898, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24129033308491898 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.24129033308491898, bagging_freq=9, boosting_type=dart, learning_rate=0.05147926439812621, max_bin=160, min_data_in_leaf=20, n_estimators=160, score=-2690.711, total= 0.6s [CV] bagging_fraction=0.24129033308491898, bagging_freq=9, boosting_type=dart, learning_rate=0.05147926439812621, max_bin=160, min_data_in_leaf=20, n_estimators=160 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.24129033308491898, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24129033308491898 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.24129033308491898, bagging_freq=9, boosting_type=dart, learning_rate=0.05147926439812621, max_bin=160, min_data_in_leaf=20, n_estimators=160, score=-3287.722, total= 0.7s [CV] bagging_fraction=0.24129033308491898, bagging_freq=9, boosting_type=dart, learning_rate=0.05147926439812621, max_bin=160, min_data_in_leaf=20, n_estimators=160 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.24129033308491898, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24129033308491898 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.24129033308491898, bagging_freq=9, boosting_type=dart, learning_rate=0.05147926439812621, max_bin=160, min_data_in_leaf=20, n_estimators=160, score=-2820.078, total= 0.6s [CV] bagging_fraction=0.24129033308491898, bagging_freq=9, boosting_type=dart, learning_rate=0.05147926439812621, max_bin=160, min_data_in_leaf=20, n_estimators=160 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.24129033308491898, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24129033308491898 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.24129033308491898, bagging_freq=9, boosting_type=dart, learning_rate=0.05147926439812621, max_bin=160, min_data_in_leaf=20, n_estimators=160, score=-2455.467, total= 0.6s [Parallel(n_jobs=1)]: Done 200 out of 200 | elapsed: 2.7min finished [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.6239874815026982, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6239874815026982 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
Out[72]:
RandomizedSearchCV(cv=4, estimator=LGBMRegressor(n_iter=200), n_iter=50,
param_distributions={'bagging_fraction': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE8CA280>,
'bagging_freq': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE8C2700>,
'boosting_type': ['dart', 'gbdt'],
'learning_rate': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE9CF7F0>,
'max_bin': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE8CA970>,
'min_data_in_leaf': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE9CFF70>,
'n_estimators': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE9CF1C0>},
scoring='neg_root_mean_squared_error', verbose=50)
In [73]:
# Wyświetlenie rezultatów dla poszczególnych prób hyperparametrów
pd.DataFrame(random_search.cv_results_).sort_values("rank_test_score")
Out[73]:
| mean_fit_time | std_fit_time | mean_score_time | std_score_time | param_bagging_fraction | param_bagging_freq | param_boosting_type | param_learning_rate | param_max_bin | param_min_data_in_leaf | param_n_estimators | params | split0_test_score | split1_test_score | split2_test_score | split3_test_score | mean_test_score | std_test_score | rank_test_score | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | 0.679 | 0.185 | 0.015 | 0.003 | 0.624 | 9 | gbdt | 0.094 | 66 | 20 | 184 | {'bagging_fraction': 0.6239874815026982, 'bagging_freq': 9, 'boosting_type': 'gbdt', 'learning_rate': 0.09426878409665895, 'max_bin': 66, 'min_data_in_leaf': 20, 'n_estimators': 184} | -2178.706 | -2292.994 | -1847.922 | -1726.728 | -2011.587 | 231.867 | 1 |
| 20 | 0.818 | 0.122 | 0.015 | 0.004 | 0.624 | 8 | gbdt | 0.046 | 139 | 14 | 269 | {'bagging_fraction': 0.6237316819452027, 'bagging_freq': 8, 'boosting_type': 'gbdt', 'learning_rate': 0.04626744411259119, 'max_bin': 139, 'min_data_in_leaf': 14, 'n_estimators': 269} | -2165.542 | -2392.061 | -1948.461 | -1693.392 | -2049.864 | 258.764 | 2 |
| 34 | 0.596 | 0.048 | 0.015 | 0.003 | 0.509 | 9 | gbdt | 0.079 | 178 | 12 | 320 | {'bagging_fraction': 0.5091806717822311, 'bagging_freq': 9, 'boosting_type': 'gbdt', 'learning_rate': 0.07948182119212889, 'max_bin': 178, 'min_data_in_leaf': 12, 'n_estimators': 320} | -2246.637 | -2438.770 | -1908.972 | -1682.544 | -2069.231 | 292.934 | 3 |
| 22 | 0.740 | 0.113 | 0.021 | 0.004 | 0.343 | 7 | gbdt | 0.055 | 41 | 11 | 320 | {'bagging_fraction': 0.34261155618297534, 'bagging_freq': 7, 'boosting_type': 'gbdt', 'learning_rate': 0.055422988503629374, 'max_bin': 41, 'min_data_in_leaf': 11, 'n_estimators': 320} | -2074.900 | -2498.353 | -1993.969 | -1755.091 | -2080.578 | 268.333 | 4 |
| 8 | 0.582 | 0.058 | 0.016 | 0.001 | 0.360 | 4 | gbdt | 0.044 | 139 | 16 | 176 | {'bagging_fraction': 0.3596242791823764, 'bagging_freq': 4, 'boosting_type': 'gbdt', 'learning_rate': 0.04419329918163067, 'max_bin': 139, 'min_data_in_leaf': 16, 'n_estimators': 176} | -2136.554 | -2571.378 | -2087.073 | -1780.754 | -2143.939 | 281.911 | 5 |
| 46 | 0.467 | 0.037 | 0.016 | 0.003 | 0.536 | 8 | gbdt | 0.069 | 56 | 30 | 276 | {'bagging_fraction': 0.5356474043623891, 'bagging_freq': 8, 'boosting_type': 'gbdt', 'learning_rate': 0.06940354439778793, 'max_bin': 56, 'min_data_in_leaf': 30, 'n_estimators': 276} | -2258.261 | -2522.161 | -2094.790 | -1831.485 | -2176.675 | 250.937 | 6 |
| 5 | 0.613 | 0.077 | 0.018 | 0.006 | 0.302 | 6 | gbdt | 0.047 | 107 | 10 | 240 | {'bagging_fraction': 0.3022740638468058, 'bagging_freq': 6, 'boosting_type': 'gbdt', 'learning_rate': 0.04717460540007333, 'max_bin': 107, 'min_data_in_leaf': 10, 'n_estimators': 240} | -2155.687 | -2639.718 | -2057.758 | -1914.363 | -2191.882 | 272.430 | 7 |
| 42 | 0.508 | 0.080 | 0.013 | 0.001 | 0.287 | 6 | gbdt | 0.087 | 179 | 18 | 251 | {'bagging_fraction': 0.28670397067324965, 'bagging_freq': 6, 'boosting_type': 'gbdt', 'learning_rate': 0.08699912188897642, 'max_bin': 179, 'min_data_in_leaf': 18, 'n_estimators': 251} | -2279.485 | -2572.595 | -2090.086 | -1904.579 | -2211.686 | 246.958 | 8 |
| 48 | 0.335 | 0.024 | 0.012 | 0.001 | 0.288 | 6 | gbdt | 0.096 | 140 | 30 | 221 | {'bagging_fraction': 0.28810636658218913, 'bagging_freq': 6, 'boosting_type': 'gbdt', 'learning_rate': 0.09577074174270399, 'max_bin': 140, 'min_data_in_leaf': 30, 'n_estimators': 221} | -2248.636 | -2680.004 | -2233.660 | -1977.234 | -2284.883 | 252.342 | 9 |
| 41 | 1.010 | 0.071 | 0.020 | 0.011 | 0.629 | 7 | dart | 0.100 | 199 | 34 | 310 | {'bagging_fraction': 0.6289078216800295, 'bagging_freq': 7, 'boosting_type': 'dart', 'learning_rate': 0.09967218785756686, 'max_bin': 199, 'min_data_in_leaf': 34, 'n_estimators': 310} | -2226.464 | -2698.431 | -2290.851 | -1947.831 | -2290.894 | 268.296 | 10 |
| 23 | 1.030 | 0.118 | 0.012 | 0.002 | 0.650 | 4 | dart | 0.091 | 123 | 30 | 281 | {'bagging_fraction': 0.6496114306743039, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.09050274063870907, 'max_bin': 123, 'min_data_in_leaf': 30, 'n_estimators': 281} | -2270.716 | -2718.085 | -2258.981 | -1935.568 | -2295.838 | 278.423 | 11 |
| 6 | 0.555 | 0.170 | 0.021 | 0.010 | 0.556 | 8 | gbdt | 0.037 | 188 | 42 | 179 | {'bagging_fraction': 0.5563925928832198, 'bagging_freq': 8, 'boosting_type': 'gbdt', 'learning_rate': 0.03743378030458097, 'max_bin': 188, 'min_data_in_leaf': 42, 'n_estimators': 179} | -2279.611 | -2702.128 | -2301.258 | -1929.190 | -2303.047 | 273.673 | 12 |
| 10 | 0.970 | 0.118 | 0.012 | 0.000 | 0.315 | 4 | dart | 0.088 | 125 | 17 | 193 | {'bagging_fraction': 0.31472853783320065, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.08841655821724925, 'max_bin': 125, 'min_data_in_leaf': 17, 'n_estimators': 193} | -2246.935 | -2743.465 | -2326.916 | -1984.343 | -2325.415 | 272.606 | 13 |
| 15 | 0.426 | 0.084 | 0.029 | 0.026 | 0.374 | 9 | gbdt | 0.066 | 64 | 39 | 334 | {'bagging_fraction': 0.37421428698548, 'bagging_freq': 9, 'boosting_type': 'gbdt', 'learning_rate': 0.06625186107076336, 'max_bin': 64, 'min_data_in_leaf': 39, 'n_estimators': 334} | -2272.610 | -2753.710 | -2324.058 | -2008.290 | -2339.667 | 267.387 | 14 |
| 45 | 0.555 | 0.079 | 0.012 | 0.001 | 0.383 | 7 | gbdt | 0.014 | 93 | 17 | 314 | {'bagging_fraction': 0.38346761578099353, 'bagging_freq': 7, 'boosting_type': 'gbdt', 'learning_rate': 0.014482575005383348, 'max_bin': 93, 'min_data_in_leaf': 17, 'n_estimators': 314} | -2317.649 | -2838.791 | -2369.721 | -2004.179 | -2382.585 | 298.202 | 15 |
| 18 | 0.270 | 0.022 | 0.012 | 0.002 | 0.209 | 9 | gbdt | 0.067 | 125 | 33 | 178 | {'bagging_fraction': 0.20940860199741584, 'bagging_freq': 9, 'boosting_type': 'gbdt', 'learning_rate': 0.06669950262803608, 'max_bin': 125, 'min_data_in_leaf': 33, 'n_estimators': 178} | -2388.319 | -2830.129 | -2404.579 | -2159.333 | -2445.590 | 242.268 | 16 |
| 3 | 0.795 | 0.237 | 0.024 | 0.007 | 0.292 | 8 | gbdt | 0.041 | 139 | 32 | 306 | {'bagging_fraction': 0.29246990812919726, 'bagging_freq': 8, 'boosting_type': 'gbdt', 'learning_rate': 0.040979290010773266, 'max_bin': 139, 'min_data_in_leaf': 32, 'n_estimators': 306} | -2475.571 | -2812.105 | -2390.610 | -2110.165 | -2447.113 | 250.377 | 17 |
| 29 | 0.289 | 0.026 | 0.011 | 0.002 | 0.270 | 4 | gbdt | 0.043 | 157 | 34 | 196 | {'bagging_fraction': 0.270241920448764, 'bagging_freq': 4, 'boosting_type': 'gbdt', 'learning_rate': 0.04281818543255046, 'max_bin': 157, 'min_data_in_leaf': 34, 'n_estimators': 196} | -2357.114 | -2897.510 | -2415.782 | -2120.000 | -2447.601 | 282.374 | 18 |
| 27 | 1.024 | 0.084 | 0.015 | 0.006 | 0.540 | 8 | dart | 0.066 | 175 | 24 | 241 | {'bagging_fraction': 0.5401994999760531, 'bagging_freq': 8, 'boosting_type': 'dart', 'learning_rate': 0.06622790827638048, 'max_bin': 175, 'min_data_in_leaf': 24, 'n_estimators': 241} | -2413.445 | -2907.554 | -2413.669 | -2078.611 | -2453.320 | 295.761 | 19 |
| 40 | 0.950 | 0.221 | 0.023 | 0.010 | 0.508 | 4 | dart | 0.090 | 57 | 47 | 291 | {'bagging_fraction': 0.5083151884358786, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.09030201820098523, 'max_bin': 57, 'min_data_in_leaf': 47, 'n_estimators': 291} | -2414.249 | -2957.359 | -2505.201 | -2082.955 | -2489.941 | 312.281 | 20 |
| 31 | 0.893 | 0.024 | 0.014 | 0.001 | 0.674 | 9 | dart | 0.059 | 71 | 25 | 330 | {'bagging_fraction': 0.6742641496754607, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.05883442585091733, 'max_bin': 71, 'min_data_in_leaf': 25, 'n_estimators': 330} | -2487.975 | -2924.429 | -2455.817 | -2145.335 | -2503.389 | 277.479 | 21 |
| 37 | 0.419 | 0.052 | 0.014 | 0.004 | 0.217 | 9 | gbdt | 0.018 | 104 | 15 | 244 | {'bagging_fraction': 0.21715202555660834, 'bagging_freq': 9, 'boosting_type': 'gbdt', 'learning_rate': 0.017914787383658516, 'max_bin': 104, 'min_data_in_leaf': 15, 'n_estimators': 244} | -2368.729 | -3000.917 | -2489.798 | -2175.269 | -2508.678 | 305.533 | 22 |
| 11 | 0.396 | 0.140 | 0.012 | 0.001 | 0.296 | 5 | gbdt | 0.034 | 130 | 41 | 220 | {'bagging_fraction': 0.29583285536708653, 'bagging_freq': 5, 'boosting_type': 'gbdt', 'learning_rate': 0.03420575958156113, 'max_bin': 130, 'min_data_in_leaf': 41, 'n_estimators': 220} | -2405.682 | -2956.818 | -2523.903 | -2202.944 | -2522.337 | 275.861 | 23 |
| 16 | 0.941 | 0.272 | 0.012 | 0.002 | 0.627 | 4 | dart | 0.051 | 87 | 14 | 151 | {'bagging_fraction': 0.627355541369166, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.05082527074296879, 'max_bin': 87, 'min_data_in_leaf': 14, 'n_estimators': 151} | -2565.594 | -2904.987 | -2494.963 | -2165.408 | -2532.738 | 262.682 | 24 |
| 36 | 0.707 | 0.051 | 0.024 | 0.011 | 0.631 | 7 | dart | 0.071 | 164 | 46 | 225 | {'bagging_fraction': 0.6314653596943218, 'bagging_freq': 7, 'boosting_type': 'dart', 'learning_rate': 0.07138655037508991, 'max_bin': 164, 'min_data_in_leaf': 46, 'n_estimators': 225} | -2457.689 | -2994.253 | -2538.044 | -2144.982 | -2533.742 | 303.730 | 25 |
| 14 | 0.698 | 0.100 | 0.013 | 0.002 | 0.348 | 4 | dart | 0.069 | 46 | 23 | 331 | {'bagging_fraction': 0.3476093029127675, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.06913808833355001, 'max_bin': 46, 'min_data_in_leaf': 23, 'n_estimators': 331} | -2427.102 | -3007.335 | -2558.816 | -2145.348 | -2534.650 | 311.102 | 26 |
| 7 | 0.529 | 0.037 | 0.012 | 0.002 | 0.689 | 4 | gbdt | 0.010 | 61 | 28 | 160 | {'bagging_fraction': 0.6889368747692127, 'bagging_freq': 4, 'boosting_type': 'gbdt', 'learning_rate': 0.009611987048818382, 'max_bin': 61, 'min_data_in_leaf': 28, 'n_estimators': 160} | -2543.918 | -3021.745 | -2533.770 | -2102.447 | -2550.470 | 325.249 | 27 |
| 43 | 0.590 | 0.165 | 0.011 | 0.001 | 0.218 | 5 | dart | 0.066 | 133 | 28 | 205 | {'bagging_fraction': 0.2180848134832546, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.06644662116634467, 'max_bin': 133, 'min_data_in_leaf': 28, 'n_estimators': 205} | -2607.912 | -3271.216 | -2740.025 | -2324.234 | -2735.847 | 343.668 | 28 |
| 17 | 0.532 | 0.053 | 0.012 | 0.002 | 0.293 | 9 | dart | 0.067 | 73 | 41 | 319 | {'bagging_fraction': 0.2927587726596365, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.06668341440390804, 'max_bin': 73, 'min_data_in_leaf': 41, 'n_estimators': 319} | -2632.304 | -3250.959 | -2747.402 | -2373.727 | -2751.098 | 318.746 | 29 |
| 39 | 0.760 | 0.124 | 0.022 | 0.011 | 0.403 | 8 | dart | 0.060 | 120 | 47 | 333 | {'bagging_fraction': 0.4033979882489861, 'bagging_freq': 8, 'boosting_type': 'dart', 'learning_rate': 0.06004396019955694, 'max_bin': 120, 'min_data_in_leaf': 47, 'n_estimators': 333} | -2675.533 | -3336.306 | -2809.272 | -2360.923 | -2795.509 | 352.104 | 30 |
| 28 | 1.216 | 0.497 | 0.014 | 0.005 | 0.669 | 9 | dart | 0.042 | 97 | 22 | 183 | {'bagging_fraction': 0.6686622760344098, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.04175580507337046, 'max_bin': 97, 'min_data_in_leaf': 22, 'n_estimators': 183} | -2769.463 | -3254.628 | -2792.346 | -2431.355 | -2811.948 | 292.833 | 31 |
| 49 | 0.616 | 0.059 | 0.011 | 0.001 | 0.241 | 9 | dart | 0.051 | 160 | 20 | 160 | {'bagging_fraction': 0.24129033308491898, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.05147926439812621, 'max_bin': 160, 'min_data_in_leaf': 20, 'n_estimators': 160} | -2690.711 | -3287.722 | -2820.078 | -2455.467 | -2813.494 | 303.395 | 32 |
| 32 | 0.850 | 0.037 | 0.014 | 0.002 | 0.505 | 4 | dart | 0.042 | 133 | 20 | 246 | {'bagging_fraction': 0.5054584850964887, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.04168193202367466, 'max_bin': 133, 'min_data_in_leaf': 20, 'n_estimators': 246} | -2771.733 | -3318.167 | -2820.767 | -2466.200 | -2844.217 | 305.503 | 33 |
| 12 | 1.039 | 0.165 | 0.013 | 0.001 | 0.399 | 6 | dart | 0.043 | 171 | 23 | 203 | {'bagging_fraction': 0.3987203433466033, 'bagging_freq': 6, 'boosting_type': 'dart', 'learning_rate': 0.04339787118406662, 'max_bin': 171, 'min_data_in_leaf': 23, 'n_estimators': 203} | -2803.532 | -3355.121 | -2904.971 | -2478.988 | -2885.653 | 313.406 | 34 |
| 30 | 0.887 | 0.127 | 0.013 | 0.001 | 0.582 | 5 | dart | 0.037 | 94 | 17 | 258 | {'bagging_fraction': 0.5816795189378653, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.036661816137873365, 'max_bin': 94, 'min_data_in_leaf': 17, 'n_estimators': 258} | -2979.313 | -3394.420 | -2972.073 | -2594.699 | -2985.126 | 282.913 | 35 |
| 35 | 0.602 | 0.060 | 0.016 | 0.005 | 0.533 | 7 | dart | 0.043 | 77 | 47 | 286 | {'bagging_fraction': 0.5331988656321559, 'bagging_freq': 7, 'boosting_type': 'dart', 'learning_rate': 0.04285123464108593, 'max_bin': 77, 'min_data_in_leaf': 47, 'n_estimators': 286} | -2915.173 | -3519.567 | -3028.641 | -2592.383 | -3013.941 | 332.919 | 36 |
| 2 | 2.036 | 0.770 | 0.026 | 0.017 | 0.436 | 6 | dart | 0.026 | 155 | 10 | 187 | {'bagging_fraction': 0.4363706728262366, 'bagging_freq': 6, 'boosting_type': 'dart', 'learning_rate': 0.02570514263907875, 'max_bin': 155, 'min_data_in_leaf': 10, 'n_estimators': 187} | -3510.052 | -3988.779 | -3522.851 | -3212.370 | -3558.513 | 277.743 | 37 |
| 33 | 0.621 | 0.077 | 0.013 | 0.004 | 0.450 | 7 | dart | 0.025 | 71 | 41 | 277 | {'bagging_fraction': 0.4500776886893994, 'bagging_freq': 7, 'boosting_type': 'dart', 'learning_rate': 0.024951893986745022, 'max_bin': 71, 'min_data_in_leaf': 41, 'n_estimators': 277} | -3745.998 | -4342.453 | -3831.858 | -3421.387 | -3835.424 | 330.346 | 38 |
| 26 | 0.815 | 0.058 | 0.014 | 0.003 | 0.578 | 6 | dart | 0.024 | 147 | 44 | 300 | {'bagging_fraction': 0.5775218572137993, 'bagging_freq': 6, 'boosting_type': 'dart', 'learning_rate': 0.0241864968955674, 'max_bin': 147, 'min_data_in_leaf': 44, 'n_estimators': 300} | -3740.077 | -4358.614 | -3842.930 | -3444.701 | -3846.580 | 329.788 | 39 |
| 21 | 0.912 | 0.254 | 0.020 | 0.010 | 0.244 | 6 | dart | 0.020 | 69 | 16 | 226 | {'bagging_fraction': 0.24431510779937227, 'bagging_freq': 6, 'boosting_type': 'dart', 'learning_rate': 0.019731384085998196, 'max_bin': 69, 'min_data_in_leaf': 16, 'n_estimators': 226} | -4098.524 | -4673.306 | -4195.061 | -3839.559 | -4201.613 | 301.765 | 40 |
| 38 | 1.205 | 0.128 | 0.013 | 0.001 | 0.690 | 5 | dart | 0.014 | 143 | 23 | 217 | {'bagging_fraction': 0.6895518083151545, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.014056454162124577, 'max_bin': 143, 'min_data_in_leaf': 23, 'n_estimators': 217} | -4758.437 | -5264.694 | -4767.249 | -4466.840 | -4814.305 | 286.757 | 41 |
| 24 | 0.795 | 0.027 | 0.013 | 0.001 | 0.451 | 9 | dart | 0.012 | 140 | 26 | 302 | {'bagging_fraction': 0.45111259989844205, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.01180127785394013, 'max_bin': 140, 'min_data_in_leaf': 26, 'n_estimators': 302} | -5120.519 | -5678.946 | -5199.568 | -4878.138 | -5219.293 | 290.608 | 42 |
| 25 | 0.907 | 0.259 | 0.013 | 0.002 | 0.607 | 9 | dart | 0.011 | 135 | 49 | 158 | {'bagging_fraction': 0.6069301465772307, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.010774662679757897, 'max_bin': 135, 'min_data_in_leaf': 49, 'n_estimators': 158} | -5321.998 | -5875.068 | -5408.165 | -5093.239 | -5424.617 | 284.393 | 43 |
| 19 | 0.849 | 0.025 | 0.012 | 0.000 | 0.493 | 8 | dart | 0.008 | 128 | 18 | 259 | {'bagging_fraction': 0.4931273820106929, 'bagging_freq': 8, 'boosting_type': 'dart', 'learning_rate': 0.007590910460748013, 'max_bin': 128, 'min_data_in_leaf': 18, 'n_estimators': 259} | -5892.686 | -6403.596 | -5931.897 | -5672.078 | -5975.064 | 266.500 | 44 |
| 0 | 1.102 | 0.195 | 0.019 | 0.009 | 0.350 | 5 | dart | 0.006 | 193 | 22 | 297 | {'bagging_fraction': 0.3504435345515259, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.0064103420320363765, 'max_bin': 193, 'min_data_in_leaf': 22, 'n_estimators': 297} | -6179.549 | -6751.214 | -6243.052 | -5990.691 | -6291.127 | 281.382 | 45 |
| 13 | 0.770 | 0.234 | 0.012 | 0.002 | 0.445 | 9 | dart | 0.006 | 121 | 38 | 245 | {'bagging_fraction': 0.44521829906193733, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.006304210746254879, 'max_bin': 121, 'min_data_in_leaf': 38, 'n_estimators': 245} | -6209.466 | -6785.643 | -6286.228 | -6030.742 | -6328.020 | 279.997 | 46 |
| 4 | 2.154 | 0.400 | 0.021 | 0.006 | 0.324 | 9 | dart | 0.003 | 115 | 10 | 264 | {'bagging_fraction': 0.3237753909511801, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.0030390173743202295, 'max_bin': 115, 'min_data_in_leaf': 10, 'n_estimators': 264} | -7024.715 | -7561.925 | -7060.411 | -6870.571 | -7129.406 | 259.706 | 47 |
| 47 | 0.781 | 0.061 | 0.013 | 0.004 | 0.689 | 4 | dart | 0.002 | 48 | 41 | 167 | {'bagging_fraction': 0.6894977723593108, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.002284823578741679, 'max_bin': 48, 'min_data_in_leaf': 41, 'n_estimators': 167} | -7268.228 | -7811.760 | -7303.392 | -7115.253 | -7374.658 | 262.085 | 48 |
| 1 | 0.959 | 0.343 | 0.016 | 0.007 | 0.559 | 9 | dart | 0.002 | 65 | 43 | 320 | {'bagging_fraction': 0.5592914202095289, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.0017791345561366412, 'max_bin': 65, 'min_data_in_leaf': 43, 'n_estimators': 320} | -7425.037 | -7972.049 | -7463.578 | -7286.889 | -7536.888 | 259.687 | 49 |
| 44 | 0.917 | 0.109 | 0.014 | 0.005 | 0.609 | 7 | dart | 0.001 | 60 | 12 | 326 | {'bagging_fraction': 0.6087184826846672, 'bagging_freq': 7, 'boosting_type': 'dart', 'learning_rate': 0.0011513044039851317, 'max_bin': 60, 'min_data_in_leaf': 12, 'n_estimators': 326} | -7615.433 | -8153.870 | -7643.152 | -7477.695 | -7722.538 | 256.792 | 50 |
In [74]:
# Przypisanie najlepszego, wytrenowanego modelu do zmiennej
best_model = random_search.best_estimator_
In [75]:
# Obliczenie metryk MAPE i RMSE korzystając z funkcji calculate_metrics
calculate_metrics(best_model, X_train, y_train, X_test, y_test)
| train | test | |
|---|---|---|
| MAPE | 5.821 | 10.146 |
| RMSE | 962.587 | 1660.133 |
In [76]:
# Wykres reszt
residuals_plot(best_model, X_train, y_train, X_test, y_test)
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\sklearn\base.py:209: FutureWarning: From version 0.24, get_params will raise an AttributeError if a parameter cannot be retrieved as an instance attribute. Previously it would return None.
Out[76]:
ResidualsPlot(ax=<AxesSubplot:title={'center':'Residuals for LGBMRegressor Model'}, xlabel='Predicted Value', ylabel='Residuals'>,
line_color=None, model=None, test_alpha=None, test_color=None,
train_alpha=None, train_color=None)
In [77]:
# Wykres błędów predykcji
prediction_error(best_model, X_train, y_train, X_test, y_test)
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\sklearn\base.py:209: FutureWarning: From version 0.24, get_params will raise an AttributeError if a parameter cannot be retrieved as an instance attribute. Previously it would return None.
Out[77]:
PredictionError(ax=<AxesSubplot:title={'center':'Prediction Error for LGBMRegressor'}, xlabel='$y$', ylabel='$\\hat{y}$'>,
model=None)
In [78]:
# Próba usunięcia wartości odstających dla zmiennej celu
df_for_modelling_outliers_index = df_for_modelling.copy()
df_for_modelling_outliers_index["zscore"] = zscore(df_for_modelling_outliers_index["cena_metr"])
In [79]:
# Wskazanie obserwacji, których moduł wartości zscore przekracza 3 - wartości odstające
outliers_indices = df_for_modelling_outliers_index["zscore"].abs() >= 3
In [80]:
display(df_for_modelling_outliers_index[outliers_indices])
print(f"Liczba obserwacji odstających: {outliers_indices.sum()}")
| powierzchnia | cena_metr | liczba_pokoi | pietro | liczba_pieter | teren_zamkniety | balkon | ogrodek | winda | piwnica | monitoring_ochrona | czas_auto | dystans_auto | czas_zbiorowy | dystans_zbiorowy | wiek_budynku | w_budowie | nad_morzem | Gdańsk | Gdynia | Sopot | rynek_pierwotny | do_remontu | do_wykonczenia | do_zamieszkania | zscore | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 21 | 50.620 | 29900.000 | 2 | 4 | 4.000 | 0 | 1 | 0 | 1 | 1 | 1 | 1802.000 | 15039.000 | 2872.000 | 16174.000 | 0.000 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4.798 |
| 81 | 84.000 | 30952.000 | 3 | 5 | 5.000 | 0 | 1 | 0 | 1 | 1 | 0 | 1623.000 | 14155.000 | 2394.000 | 15060.000 | 0.000 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5.057 |
| 83 | 98.940 | 26279.000 | 3 | 5 | 5.000 | 0 | 1 | 0 | 1 | 1 | 0 | 1524.000 | 14737.000 | 1602.000 | 14053.000 | 5.000 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3.906 |
| 84 | 74.210 | 31000.000 | 2 | 4 | 6.000 | 0 | 0 | 0 | 1 | 0 | 0 | 1038.000 | 9489.000 | 2651.000 | 9845.000 | 1.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5.069 |
| 144 | 59.200 | 22618.000 | 2 | 5 | 6.000 | 0 | 0 | 0 | 1 | 0 | 1 | 1038.000 | 9489.000 | 2651.000 | 9845.000 | 1.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3.005 |
| 217 | 134.200 | 24441.000 | 5 | 2 | 2.000 | 1 | 0 | 0 | 1 | 1 | 1 | 946.000 | 7867.000 | 2246.000 | 8477.000 | 2.000 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3.454 |
| 357 | 132.560 | 30100.000 | 3 | 4 | 4.000 | 0 | 1 | 0 | 1 | 0 | 0 | 1027.000 | 8715.000 | 2534.000 | 9115.000 | 11.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4.847 |
| 379 | 63.800 | 23981.000 | 2 | 15 | 32.000 | 0 | 0 | 0 | 1 | 0 | 1 | 1711.000 | 14379.000 | 2563.000 | 15284.000 | 13.000 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3.340 |
| 387 | 84.000 | 22619.000 | 3 | 1 | 4.000 | 0 | 1 | 0 | 1 | 0 | 1 | 565.000 | 4056.000 | 1573.000 | 4527.000 | 3.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3.005 |
| 452 | 381.000 | 41995.000 | 4 | 15 | 32.000 | 0 | 0 | 0 | 1 | 0 | 1 | 1711.000 | 14379.000 | 2563.000 | 15284.000 | 11.000 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 7.777 |
| 453 | 98.940 | 27289.000 | 3 | 5 | 5.000 | 0 | 0 | 0 | 1 | 0 | 0 | 1531.000 | 13182.000 | 2605.000 | 14089.000 | 5.000 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4.155 |
| 533 | 150.000 | 49933.000 | 4 | 0 | 2.000 | 0 | 1 | 1 | 1 | 0 | 0 | 987.000 | 9233.000 | 2293.000 | 10404.000 | 11.000 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 9.732 |
| 568 | 37.300 | 22788.000 | 2 | 5 | 6.000 | 0 | 1 | 0 | 1 | 0 | 1 | 1114.000 | 9694.000 | 2711.000 | 9758.000 | 0.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3.046 |
| 677 | 132.560 | 30100.000 | 3 | 4 | 4.000 | 0 | 1 | 0 | 1 | 0 | 0 | 1027.000 | 8715.000 | 2534.000 | 9115.000 | 11.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4.847 |
| 678 | 125.000 | 29984.000 | 4 | 1 | 3.000 | 0 | 0 | 0 | 1 | 0 | 1 | 884.000 | 8304.000 | 1362.000 | 9195.000 | 3.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4.819 |
| 841 | 103.420 | 32000.000 | 3 | 4 | 6.000 | 0 | 1 | 0 | 1 | 0 | 0 | 1038.000 | 9489.000 | 2651.000 | 9845.000 | 1.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5.315 |
| 1329 | 42.000 | 23690.000 | 2 | 3 | 7.000 | 0 | 1 | 0 | 1 | 0 | 0 | 1038.000 | 9489.000 | 2651.000 | 9845.000 | 0.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3.269 |
| 1340 | 73.300 | 23861.000 | 3 | 1 | 2.000 | 1 | 1 | 0 | 1 | 0 | 1 | 545.000 | 3564.000 | 1339.000 | 3905.000 | 0.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3.311 |
| 1445 | 75.190 | 29500.000 | 2 | 2 | 6.000 | 0 | 0 | 0 | 1 | 0 | 0 | 1038.000 | 9489.000 | 2651.000 | 9845.000 | 1.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4.700 |
| 1451 | 48.650 | 40082.000 | 2 | 4 | 4.000 | 0 | 1 | 0 | 1 | 1 | 0 | 1802.000 | 15039.000 | 2872.000 | 16174.000 | 0.000 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 7.306 |
| 1499 | 125.000 | 29984.000 | 4 | 1 | 3.000 | 0 | 0 | 0 | 1 | 0 | 1 | 884.000 | 8304.000 | 1362.000 | 9195.000 | 3.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4.819 |
| 1640 | 125.000 | 29984.000 | 4 | 1 | 3.000 | 0 | 0 | 0 | 1 | 0 | 1 | 884.000 | 8304.000 | 1362.000 | 9195.000 | 3.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4.819 |
| 1693 | 69.650 | 25126.000 | 3 | 1 | 3.000 | 0 | 1 | 0 | 0 | 0 | 0 | 788.000 | 5457.000 | 1610.000 | 5857.000 | 6.000 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 3.622 |
| 1702 | 107.550 | 35000.000 | 4 | 1 | 3.000 | 0 | 1 | 0 | 0 | 0 | 0 | 733.000 | 5447.000 | 1842.000 | 6139.000 | 4.000 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 6.054 |
| 1703 | 89.520 | 35000.000 | 4 | 2 | 3.000 | 0 | 1 | 0 | 0 | 0 | 0 | 733.000 | 5447.000 | 1842.000 | 6139.000 | 4.000 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 6.054 |
| 1709 | 112.700 | 30169.000 | 4 | 8 | 11.000 | 0 | 0 | 0 | 0 | 1 | 0 | 1601.000 | 14149.000 | 2335.000 | 14969.000 | 8.000 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4.864 |
| 1723 | 156.640 | 27451.000 | 4 | 2 | 2.000 | 0 | 0 | 0 | 0 | 0 | 0 | 970.000 | 9106.000 | 2193.000 | 10278.000 | 5.000 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4.195 |
| 1807 | 86.000 | 22616.000 | 4 | 1 | 3.000 | 0 | 0 | 0 | 0 | 1 | 0 | 744.000 | 5173.000 | 1925.000 | 6688.000 | 113.000 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 3.004 |
| 1817 | 84.000 | 22619.000 | 3 | 1 | 3.000 | 0 | 1 | 0 | 1 | 1 | 0 | 621.000 | 4308.000 | 1726.000 | 5122.000 | 3.000 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 3.005 |
| 1991 | 98.100 | 28033.000 | 2 | 3 | 3.000 | 0 | 0 | 0 | 0 | 1 | 0 | 637.000 | 4736.000 | 1771.000 | 6057.000 | 110.000 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 4.338 |
| 2008 | 120.000 | 26667.000 | 4 | 15 | 24.000 | 0 | 0 | 0 | 0 | 0 | 1 | 1711.000 | 14379.000 | 2563.000 | 15284.000 | 9.000 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4.002 |
| 2044 | 100.000 | 25000.000 | 4 | 4 | 7.000 | 0 | 1 | 0 | 0 | 0 | 0 | 1038.000 | 9489.000 | 2651.000 | 9845.000 | 0.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 3.591 |
| 2120 | 125.000 | 29984.000 | 4 | 1 | 3.000 | 0 | 0 | 0 | 1 | 0 | 1 | 884.000 | 8304.000 | 1362.000 | 9195.000 | 3.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4.819 |
| 2127 | 95.000 | 25263.000 | 3 | 2 | 7.000 | 0 | 1 | 0 | 0 | 0 | 0 | 1038.000 | 9489.000 | 2651.000 | 9845.000 | 1.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3.656 |
| 2329 | 86.000 | 22616.000 | 4 | 1 | 3.000 | 0 | 0 | 0 | 0 | 1 | 0 | 744.000 | 5173.000 | 1925.000 | 6688.000 | 113.000 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 3.004 |
| 2465 | 50.000 | 24600.000 | 2 | 2 | 4.000 | 0 | 0 | 0 | 0 | 0 | 0 | 1024.000 | 9256.000 | 2311.000 | 10427.000 | 4.000 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3.493 |
| 2619 | 112.530 | 27993.000 | 2 | 3 | 3.000 | 0 | 1 | 0 | 0 | 1 | 0 | 637.000 | 4736.000 | 1771.000 | 6057.000 | 110.000 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 4.328 |
| 2627 | 125.000 | 29984.000 | 4 | 1 | 3.000 | 0 | 0 | 0 | 1 | 0 | 1 | 884.000 | 8304.000 | 1362.000 | 9195.000 | 3.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4.819 |
| 2721 | 132.560 | 30100.000 | 3 | 4 | 4.000 | 0 | 1 | 0 | 1 | 0 | 0 | 1027.000 | 8715.000 | 2534.000 | 9115.000 | 11.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4.847 |
| 2781 | 89.520 | 35000.000 | 4 | 1 | 3.000 | 0 | 1 | 0 | 0 | 0 | 0 | 733.000 | 5447.000 | 1842.000 | 6139.000 | 4.000 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 6.054 |
| 2789 | 125.000 | 25600.000 | 4 | 8 | 8.000 | 0 | 0 | 0 | 0 | 0 | 0 | 587.000 | 4421.000 | 1149.000 | 3558.000 | 3.000 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3.739 |
| 2817 | 123.000 | 24390.000 | 3 | 2 | 2.000 | 0 | 1 | 0 | 1 | 0 | 0 | 733.000 | 5447.000 | 1842.000 | 6139.000 | 5.000 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 3.441 |
| 2819 | 125.000 | 22960.000 | 5 | 1 | 3.000 | 0 | 1 | 0 | 1 | 1 | 1 | 1024.000 | 9256.000 | 2311.000 | 10427.000 | 5.000 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3.089 |
| 2974 | 105.700 | 27909.000 | 3 | 2 | 2.000 | 0 | 0 | 0 | 1 | 1 | 0 | 970.000 | 9106.000 | 2193.000 | 10278.000 | 6.000 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4.308 |
| 3033 | 125.000 | 25600.000 | 4 | 8 | 8.000 | 0 | 0 | 0 | 0 | 0 | 0 | 587.000 | 4421.000 | 1149.000 | 3558.000 | 3.000 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3.739 |
| 3156 | 125.000 | 25600.000 | 4 | 8 | 8.000 | 0 | 0 | 0 | 0 | 0 | 0 | 587.000 | 4421.000 | 1149.000 | 3558.000 | 3.000 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3.739 |
| 3327 | 46.000 | 23891.000 | 1 | 6 | 6.000 | 1 | 0 | 0 | 1 | 0 | 1 | 988.000 | 9052.000 | 2733.000 | 9383.000 | 4.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3.318 |
| 3337 | 71.000 | 22676.000 | 2 | 3 | 4.000 | 0 | 0 | 0 | 1 | 1 | 1 | 986.000 | 8407.000 | 2235.000 | 9114.000 | 11.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3.019 |
| 3436 | 50.620 | 29900.000 | 2 | 4 | 4.000 | 0 | 1 | 0 | 1 | 1 | 1 | 1802.000 | 15039.000 | 2872.000 | 16174.000 | 0.000 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4.798 |
| 3495 | 84.000 | 30952.000 | 3 | 5 | 5.000 | 0 | 1 | 0 | 1 | 1 | 0 | 1623.000 | 14155.000 | 2394.000 | 15060.000 | 0.000 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5.057 |
| 3497 | 98.940 | 26279.000 | 3 | 5 | 5.000 | 0 | 1 | 0 | 1 | 1 | 0 | 1524.000 | 14737.000 | 1602.000 | 14053.000 | 5.000 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3.906 |
| 3498 | 74.210 | 31000.000 | 2 | 4 | 6.000 | 0 | 0 | 0 | 1 | 0 | 0 | 1038.000 | 9489.000 | 2651.000 | 9845.000 | 1.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5.069 |
| 3542 | 132.560 | 30100.000 | 3 | 4 | 4.000 | 0 | 1 | 0 | 1 | 0 | 0 | 1027.000 | 8715.000 | 2534.000 | 9115.000 | 11.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4.847 |
| 3680 | 86.000 | 22616.000 | 4 | 1 | 3.000 | 0 | 0 | 0 | 0 | 1 | 0 | 744.000 | 5173.000 | 1925.000 | 6688.000 | 113.000 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 3.004 |
| 3754 | 61.000 | 22934.000 | 3 | 2 | 3.000 | 1 | 1 | 0 | 0 | 0 | 1 | 440.000 | 2475.000 | 785.000 | 1575.000 | 1.000 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3.082 |
| 4062 | 46.470 | 25000.000 | 2 | 2 | 7.000 | 0 | 1 | 0 | 1 | 0 | 1 | 1038.000 | 9489.000 | 2651.000 | 9845.000 | 1.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 3.591 |
| 4162 | 112.260 | 29396.000 | 3 | 3 | 3.000 | 1 | 0 | 0 | 1 | 1 | 1 | 504.000 | 4558.000 | 1197.000 | 5316.000 | 2.000 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 4.674 |
| 4243 | 43.000 | 25558.000 | 2 | 1 | 3.000 | 1 | 0 | 0 | 1 | 0 | 1 | 824.000 | 4713.000 | 1994.000 | 4103.000 | 1.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3.729 |
| 4245 | 123.000 | 23496.000 | 4 | 3 | 3.000 | 0 | 0 | 0 | 0 | 1 | 0 | 1498.000 | 13363.000 | 2985.000 | 14586.000 | 22.000 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3.221 |
| 4274 | 42.000 | 28548.000 | 2 | 0 | 3.000 | 1 | 0 | 0 | 1 | 0 | 1 | 824.000 | 4713.000 | 1994.000 | 4103.000 | 3.000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4.465 |
| 4534 | 36.000 | 23028.000 | 1 | 1 | 3.000 | 0 | 1 | 0 | 0 | 0 | 1 | 504.000 | 4558.000 | 1197.000 | 5316.000 | 7.000 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 3.106 |
Liczba obserwacji odstających: 61
In [81]:
# Pominięcie obserwacji odstających i ponowna faza modelowania
df_for_modelling_outliers_index = df_for_modelling_outliers_index[~outliers_indices].drop(columns="zscore", axis=1)
In [83]:
# Podział na zbior zmiennych X oraz zbiór zmiennej celu y
X_without_outliers = df_for_modelling_outliers_index.drop(columns="cena_metr", axis=1).copy()
y_without_outliers = df_for_modelling_outliers_index["cena_metr"]
# Podział na nowy zbiór uczący i testowy
X_train_wo, X_test_wo, y_train_wo, y_test_wo = train_test_split(X_without_outliers,
y_without_outliers,
test_size=0.15,
random_state=12345)
print(f"Rozmiar zbioru treningowego: {X_train_wo.shape}")
print(f"Rozmiar zbioru testowego: {X_test_wo.shape}")
lgbm_model = LGBMRegressor(n_jobs=-1, n_iter=200)
random_search_without_outliers = RandomizedSearchCV(estimator=lgbm_model,
param_distributions=random_search_grid,
n_iter=50,
cv=4,
verbose=50,
scoring="neg_root_mean_squared_error")
random_search_without_outliers.fit(X_train_wo, y_train_wo)
Rozmiar zbioru treningowego: (2626, 24) Rozmiar zbioru testowego: (464, 24) Fitting 4 folds for each of 50 candidates, totalling 200 fits [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. [CV] bagging_fraction=0.6998785875233111, bagging_freq=7, boosting_type=gbdt, learning_rate=0.07485064519324487, max_bin=93, min_data_in_leaf=18, n_estimators=169 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] bagging_fraction is set=0.6998785875233111, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6998785875233111 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6998785875233111, bagging_freq=7, boosting_type=gbdt, learning_rate=0.07485064519324487, max_bin=93, min_data_in_leaf=18, n_estimators=169, score=-1583.499, total= 0.6s [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.5s remaining: 0.0s [CV] bagging_fraction=0.6998785875233111, bagging_freq=7, boosting_type=gbdt, learning_rate=0.07485064519324487, max_bin=93, min_data_in_leaf=18, n_estimators=169 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] bagging_fraction is set=0.6998785875233111, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6998785875233111 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6998785875233111, bagging_freq=7, boosting_type=gbdt, learning_rate=0.07485064519324487, max_bin=93, min_data_in_leaf=18, n_estimators=169, score=-1614.934, total= 0.5s [Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 1.0s remaining: 0.0s [CV] bagging_fraction=0.6998785875233111, bagging_freq=7, boosting_type=gbdt, learning_rate=0.07485064519324487, max_bin=93, min_data_in_leaf=18, n_estimators=169 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] bagging_fraction is set=0.6998785875233111, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6998785875233111 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6998785875233111, bagging_freq=7, boosting_type=gbdt, learning_rate=0.07485064519324487, max_bin=93, min_data_in_leaf=18, n_estimators=169, score=-1381.541, total= 0.6s [Parallel(n_jobs=1)]: Done 3 out of 3 | elapsed: 1.7s remaining: 0.0s [CV] bagging_fraction=0.6998785875233111, bagging_freq=7, boosting_type=gbdt, learning_rate=0.07485064519324487, max_bin=93, min_data_in_leaf=18, n_estimators=169 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] bagging_fraction is set=0.6998785875233111, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6998785875233111 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6998785875233111, bagging_freq=7, boosting_type=gbdt, learning_rate=0.07485064519324487, max_bin=93, min_data_in_leaf=18, n_estimators=169, score=-1333.093, total= 0.8s [Parallel(n_jobs=1)]: Done 4 out of 4 | elapsed: 2.5s remaining: 0.0s [CV] bagging_fraction=0.20629497701052413, bagging_freq=8, boosting_type=dart, learning_rate=0.02054395045871853, max_bin=124, min_data_in_leaf=21, n_estimators=150 [LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21 [LightGBM] [Warning] bagging_fraction is set=0.20629497701052413, subsample=1.0 will be ignored. Current value: bagging_fraction=0.20629497701052413 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.20629497701052413, bagging_freq=8, boosting_type=dart, learning_rate=0.02054395045871853, max_bin=124, min_data_in_leaf=21, n_estimators=150, score=-3530.200, total= 0.5s [Parallel(n_jobs=1)]: Done 5 out of 5 | elapsed: 3.0s remaining: 0.0s [CV] bagging_fraction=0.20629497701052413, bagging_freq=8, boosting_type=dart, learning_rate=0.02054395045871853, max_bin=124, min_data_in_leaf=21, n_estimators=150 [LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21 [LightGBM] [Warning] bagging_fraction is set=0.20629497701052413, subsample=1.0 will be ignored. Current value: bagging_fraction=0.20629497701052413 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.20629497701052413, bagging_freq=8, boosting_type=dart, learning_rate=0.02054395045871853, max_bin=124, min_data_in_leaf=21, n_estimators=150, score=-3657.556, total= 0.6s [Parallel(n_jobs=1)]: Done 6 out of 6 | elapsed: 3.5s remaining: 0.0s [CV] bagging_fraction=0.20629497701052413, bagging_freq=8, boosting_type=dart, learning_rate=0.02054395045871853, max_bin=124, min_data_in_leaf=21, n_estimators=150 [LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21 [LightGBM] [Warning] bagging_fraction is set=0.20629497701052413, subsample=1.0 will be ignored. Current value: bagging_fraction=0.20629497701052413 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.20629497701052413, bagging_freq=8, boosting_type=dart, learning_rate=0.02054395045871853, max_bin=124, min_data_in_leaf=21, n_estimators=150, score=-3690.255, total= 0.7s [Parallel(n_jobs=1)]: Done 7 out of 7 | elapsed: 4.3s remaining: 0.0s [CV] bagging_fraction=0.20629497701052413, bagging_freq=8, boosting_type=dart, learning_rate=0.02054395045871853, max_bin=124, min_data_in_leaf=21, n_estimators=150 [LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21 [LightGBM] [Warning] bagging_fraction is set=0.20629497701052413, subsample=1.0 will be ignored. Current value: bagging_fraction=0.20629497701052413 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.20629497701052413, bagging_freq=8, boosting_type=dart, learning_rate=0.02054395045871853, max_bin=124, min_data_in_leaf=21, n_estimators=150, score=-3391.109, total= 0.6s [Parallel(n_jobs=1)]: Done 8 out of 8 | elapsed: 4.8s remaining: 0.0s [CV] bagging_fraction=0.5800802183392917, bagging_freq=5, boosting_type=dart, learning_rate=0.042888181968319665, max_bin=174, min_data_in_leaf=32, n_estimators=243 [LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32 [LightGBM] [Warning] bagging_fraction is set=0.5800802183392917, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5800802183392917 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5800802183392917, bagging_freq=5, boosting_type=dart, learning_rate=0.042888181968319665, max_bin=174, min_data_in_leaf=32, n_estimators=243, score=-2216.235, total= 0.8s [Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 5.7s remaining: 0.0s [CV] bagging_fraction=0.5800802183392917, bagging_freq=5, boosting_type=dart, learning_rate=0.042888181968319665, max_bin=174, min_data_in_leaf=32, n_estimators=243 [LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32 [LightGBM] [Warning] bagging_fraction is set=0.5800802183392917, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5800802183392917 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5800802183392917, bagging_freq=5, boosting_type=dart, learning_rate=0.042888181968319665, max_bin=174, min_data_in_leaf=32, n_estimators=243, score=-2368.762, total= 0.8s [Parallel(n_jobs=1)]: Done 10 out of 10 | elapsed: 6.5s remaining: 0.0s [CV] bagging_fraction=0.5800802183392917, bagging_freq=5, boosting_type=dart, learning_rate=0.042888181968319665, max_bin=174, min_data_in_leaf=32, n_estimators=243 [LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32 [LightGBM] [Warning] bagging_fraction is set=0.5800802183392917, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5800802183392917 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5800802183392917, bagging_freq=5, boosting_type=dart, learning_rate=0.042888181968319665, max_bin=174, min_data_in_leaf=32, n_estimators=243, score=-2317.106, total= 0.9s [Parallel(n_jobs=1)]: Done 11 out of 11 | elapsed: 7.4s remaining: 0.0s [CV] bagging_fraction=0.5800802183392917, bagging_freq=5, boosting_type=dart, learning_rate=0.042888181968319665, max_bin=174, min_data_in_leaf=32, n_estimators=243 [LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32 [LightGBM] [Warning] bagging_fraction is set=0.5800802183392917, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5800802183392917 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5800802183392917, bagging_freq=5, boosting_type=dart, learning_rate=0.042888181968319665, max_bin=174, min_data_in_leaf=32, n_estimators=243, score=-2071.467, total= 1.7s [Parallel(n_jobs=1)]: Done 12 out of 12 | elapsed: 9.0s remaining: 0.0s [CV] bagging_fraction=0.39676145576873106, bagging_freq=4, boosting_type=gbdt, learning_rate=0.06494680994286729, max_bin=62, min_data_in_leaf=34, n_estimators=244 [LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34 [LightGBM] [Warning] bagging_fraction is set=0.39676145576873106, subsample=1.0 will be ignored. Current value: bagging_fraction=0.39676145576873106 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.39676145576873106, bagging_freq=4, boosting_type=gbdt, learning_rate=0.06494680994286729, max_bin=62, min_data_in_leaf=34, n_estimators=244, score=-1694.937, total= 1.1s [Parallel(n_jobs=1)]: Done 13 out of 13 | elapsed: 10.2s remaining: 0.0s [CV] bagging_fraction=0.39676145576873106, bagging_freq=4, boosting_type=gbdt, learning_rate=0.06494680994286729, max_bin=62, min_data_in_leaf=34, n_estimators=244 [LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34 [LightGBM] [Warning] bagging_fraction is set=0.39676145576873106, subsample=1.0 will be ignored. Current value: bagging_fraction=0.39676145576873106 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.39676145576873106, bagging_freq=4, boosting_type=gbdt, learning_rate=0.06494680994286729, max_bin=62, min_data_in_leaf=34, n_estimators=244, score=-1744.980, total= 0.4s [Parallel(n_jobs=1)]: Done 14 out of 14 | elapsed: 10.6s remaining: 0.0s [CV] bagging_fraction=0.39676145576873106, bagging_freq=4, boosting_type=gbdt, learning_rate=0.06494680994286729, max_bin=62, min_data_in_leaf=34, n_estimators=244 [LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34 [LightGBM] [Warning] bagging_fraction is set=0.39676145576873106, subsample=1.0 will be ignored. Current value: bagging_fraction=0.39676145576873106 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.39676145576873106, bagging_freq=4, boosting_type=gbdt, learning_rate=0.06494680994286729, max_bin=62, min_data_in_leaf=34, n_estimators=244, score=-1574.772, total= 0.4s [Parallel(n_jobs=1)]: Done 15 out of 15 | elapsed: 11.0s remaining: 0.0s [CV] bagging_fraction=0.39676145576873106, bagging_freq=4, boosting_type=gbdt, learning_rate=0.06494680994286729, max_bin=62, min_data_in_leaf=34, n_estimators=244 [LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34 [LightGBM] [Warning] bagging_fraction is set=0.39676145576873106, subsample=1.0 will be ignored. Current value: bagging_fraction=0.39676145576873106 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.39676145576873106, bagging_freq=4, boosting_type=gbdt, learning_rate=0.06494680994286729, max_bin=62, min_data_in_leaf=34, n_estimators=244, score=-1419.995, total= 0.4s [Parallel(n_jobs=1)]: Done 16 out of 16 | elapsed: 11.4s remaining: 0.0s [CV] bagging_fraction=0.5960579251101352, bagging_freq=5, boosting_type=gbdt, learning_rate=0.027176967873624027, max_bin=65, min_data_in_leaf=49, n_estimators=185 [LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49 [LightGBM] [Warning] bagging_fraction is set=0.5960579251101352, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5960579251101352 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5960579251101352, bagging_freq=5, boosting_type=gbdt, learning_rate=0.027176967873624027, max_bin=65, min_data_in_leaf=49, n_estimators=185, score=-1794.134, total= 0.5s [Parallel(n_jobs=1)]: Done 17 out of 17 | elapsed: 11.9s remaining: 0.0s [CV] bagging_fraction=0.5960579251101352, bagging_freq=5, boosting_type=gbdt, learning_rate=0.027176967873624027, max_bin=65, min_data_in_leaf=49, n_estimators=185 [LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49 [LightGBM] [Warning] bagging_fraction is set=0.5960579251101352, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5960579251101352 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5960579251101352, bagging_freq=5, boosting_type=gbdt, learning_rate=0.027176967873624027, max_bin=65, min_data_in_leaf=49, n_estimators=185, score=-1896.435, total= 0.6s [Parallel(n_jobs=1)]: Done 18 out of 18 | elapsed: 12.5s remaining: 0.0s [CV] bagging_fraction=0.5960579251101352, bagging_freq=5, boosting_type=gbdt, learning_rate=0.027176967873624027, max_bin=65, min_data_in_leaf=49, n_estimators=185 [LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49 [LightGBM] [Warning] bagging_fraction is set=0.5960579251101352, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5960579251101352 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5960579251101352, bagging_freq=5, boosting_type=gbdt, learning_rate=0.027176967873624027, max_bin=65, min_data_in_leaf=49, n_estimators=185, score=-1664.133, total= 0.3s [Parallel(n_jobs=1)]: Done 19 out of 19 | elapsed: 12.8s remaining: 0.0s [CV] bagging_fraction=0.5960579251101352, bagging_freq=5, boosting_type=gbdt, learning_rate=0.027176967873624027, max_bin=65, min_data_in_leaf=49, n_estimators=185 [LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49 [LightGBM] [Warning] bagging_fraction is set=0.5960579251101352, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5960579251101352 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5960579251101352, bagging_freq=5, boosting_type=gbdt, learning_rate=0.027176967873624027, max_bin=65, min_data_in_leaf=49, n_estimators=185, score=-1500.531, total= 0.4s [Parallel(n_jobs=1)]: Done 20 out of 20 | elapsed: 13.2s remaining: 0.0s [CV] bagging_fraction=0.25907724124522485, bagging_freq=5, boosting_type=dart, learning_rate=0.030568542699766065, max_bin=114, min_data_in_leaf=30, n_estimators=321 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.25907724124522485, subsample=1.0 will be ignored. Current value: bagging_fraction=0.25907724124522485 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.25907724124522485, bagging_freq=5, boosting_type=dart, learning_rate=0.030568542699766065, max_bin=114, min_data_in_leaf=30, n_estimators=321, score=-2807.498, total= 0.6s [Parallel(n_jobs=1)]: Done 21 out of 21 | elapsed: 13.8s remaining: 0.0s [CV] bagging_fraction=0.25907724124522485, bagging_freq=5, boosting_type=dart, learning_rate=0.030568542699766065, max_bin=114, min_data_in_leaf=30, n_estimators=321 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.25907724124522485, subsample=1.0 will be ignored. Current value: bagging_fraction=0.25907724124522485 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.25907724124522485, bagging_freq=5, boosting_type=dart, learning_rate=0.030568542699766065, max_bin=114, min_data_in_leaf=30, n_estimators=321, score=-2957.506, total= 0.6s [Parallel(n_jobs=1)]: Done 22 out of 22 | elapsed: 14.4s remaining: 0.0s [CV] bagging_fraction=0.25907724124522485, bagging_freq=5, boosting_type=dart, learning_rate=0.030568542699766065, max_bin=114, min_data_in_leaf=30, n_estimators=321 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.25907724124522485, subsample=1.0 will be ignored. Current value: bagging_fraction=0.25907724124522485 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.25907724124522485, bagging_freq=5, boosting_type=dart, learning_rate=0.030568542699766065, max_bin=114, min_data_in_leaf=30, n_estimators=321, score=-2992.983, total= 0.5s [Parallel(n_jobs=1)]: Done 23 out of 23 | elapsed: 14.9s remaining: 0.0s [CV] bagging_fraction=0.25907724124522485, bagging_freq=5, boosting_type=dart, learning_rate=0.030568542699766065, max_bin=114, min_data_in_leaf=30, n_estimators=321 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.25907724124522485, subsample=1.0 will be ignored. Current value: bagging_fraction=0.25907724124522485 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.25907724124522485, bagging_freq=5, boosting_type=dart, learning_rate=0.030568542699766065, max_bin=114, min_data_in_leaf=30, n_estimators=321, score=-2680.385, total= 0.8s [Parallel(n_jobs=1)]: Done 24 out of 24 | elapsed: 15.7s remaining: 0.0s [CV] bagging_fraction=0.5907183383176714, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04121088764118007, max_bin=137, min_data_in_leaf=13, n_estimators=301 [LightGBM] [Warning] min_data_in_leaf is set=13, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=13 [LightGBM] [Warning] bagging_fraction is set=0.5907183383176714, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5907183383176714 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5907183383176714, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04121088764118007, max_bin=137, min_data_in_leaf=13, n_estimators=301, score=-1561.246, total= 1.1s [Parallel(n_jobs=1)]: Done 25 out of 25 | elapsed: 16.8s remaining: 0.0s [CV] bagging_fraction=0.5907183383176714, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04121088764118007, max_bin=137, min_data_in_leaf=13, n_estimators=301 [LightGBM] [Warning] min_data_in_leaf is set=13, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=13 [LightGBM] [Warning] bagging_fraction is set=0.5907183383176714, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5907183383176714 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5907183383176714, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04121088764118007, max_bin=137, min_data_in_leaf=13, n_estimators=301, score=-1623.687, total= 0.6s [Parallel(n_jobs=1)]: Done 26 out of 26 | elapsed: 17.4s remaining: 0.0s [CV] bagging_fraction=0.5907183383176714, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04121088764118007, max_bin=137, min_data_in_leaf=13, n_estimators=301 [LightGBM] [Warning] min_data_in_leaf is set=13, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=13 [LightGBM] [Warning] bagging_fraction is set=0.5907183383176714, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5907183383176714 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5907183383176714, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04121088764118007, max_bin=137, min_data_in_leaf=13, n_estimators=301, score=-1397.236, total= 0.8s [Parallel(n_jobs=1)]: Done 27 out of 27 | elapsed: 18.2s remaining: 0.0s [CV] bagging_fraction=0.5907183383176714, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04121088764118007, max_bin=137, min_data_in_leaf=13, n_estimators=301 [LightGBM] [Warning] min_data_in_leaf is set=13, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=13 [LightGBM] [Warning] bagging_fraction is set=0.5907183383176714, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5907183383176714 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5907183383176714, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04121088764118007, max_bin=137, min_data_in_leaf=13, n_estimators=301, score=-1316.095, total= 0.5s [Parallel(n_jobs=1)]: Done 28 out of 28 | elapsed: 18.7s remaining: 0.0s [CV] bagging_fraction=0.4015545223620346, bagging_freq=9, boosting_type=dart, learning_rate=0.009167797704707359, max_bin=148, min_data_in_leaf=47, n_estimators=242 [LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47 [LightGBM] [Warning] bagging_fraction is set=0.4015545223620346, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4015545223620346 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4015545223620346, bagging_freq=9, boosting_type=dart, learning_rate=0.009167797704707359, max_bin=148, min_data_in_leaf=47, n_estimators=242, score=-5049.158, total= 0.5s [Parallel(n_jobs=1)]: Done 29 out of 29 | elapsed: 19.2s remaining: 0.0s [CV] bagging_fraction=0.4015545223620346, bagging_freq=9, boosting_type=dart, learning_rate=0.009167797704707359, max_bin=148, min_data_in_leaf=47, n_estimators=242 [LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47 [LightGBM] [Warning] bagging_fraction is set=0.4015545223620346, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4015545223620346 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4015545223620346, bagging_freq=9, boosting_type=dart, learning_rate=0.009167797704707359, max_bin=148, min_data_in_leaf=47, n_estimators=242, score=-5213.151, total= 0.6s [Parallel(n_jobs=1)]: Done 30 out of 30 | elapsed: 19.8s remaining: 0.0s [CV] bagging_fraction=0.4015545223620346, bagging_freq=9, boosting_type=dart, learning_rate=0.009167797704707359, max_bin=148, min_data_in_leaf=47, n_estimators=242 [LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47 [LightGBM] [Warning] bagging_fraction is set=0.4015545223620346, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4015545223620346 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4015545223620346, bagging_freq=9, boosting_type=dart, learning_rate=0.009167797704707359, max_bin=148, min_data_in_leaf=47, n_estimators=242, score=-5256.091, total= 0.5s [Parallel(n_jobs=1)]: Done 31 out of 31 | elapsed: 20.3s remaining: 0.0s [CV] bagging_fraction=0.4015545223620346, bagging_freq=9, boosting_type=dart, learning_rate=0.009167797704707359, max_bin=148, min_data_in_leaf=47, n_estimators=242 [LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47 [LightGBM] [Warning] bagging_fraction is set=0.4015545223620346, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4015545223620346 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4015545223620346, bagging_freq=9, boosting_type=dart, learning_rate=0.009167797704707359, max_bin=148, min_data_in_leaf=47, n_estimators=242, score=-4945.968, total= 0.5s [Parallel(n_jobs=1)]: Done 32 out of 32 | elapsed: 20.8s remaining: 0.0s [CV] bagging_fraction=0.5243355195208359, bagging_freq=5, boosting_type=dart, learning_rate=0.01930255919558733, max_bin=88, min_data_in_leaf=32, n_estimators=168 [LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32 [LightGBM] [Warning] bagging_fraction is set=0.5243355195208359, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5243355195208359 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5243355195208359, bagging_freq=5, boosting_type=dart, learning_rate=0.01930255919558733, max_bin=88, min_data_in_leaf=32, n_estimators=168, score=-3571.323, total= 0.7s [Parallel(n_jobs=1)]: Done 33 out of 33 | elapsed: 21.6s remaining: 0.0s [CV] bagging_fraction=0.5243355195208359, bagging_freq=5, boosting_type=dart, learning_rate=0.01930255919558733, max_bin=88, min_data_in_leaf=32, n_estimators=168 [LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32 [LightGBM] [Warning] bagging_fraction is set=0.5243355195208359, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5243355195208359 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5243355195208359, bagging_freq=5, boosting_type=dart, learning_rate=0.01930255919558733, max_bin=88, min_data_in_leaf=32, n_estimators=168, score=-3723.834, total= 0.9s [Parallel(n_jobs=1)]: Done 34 out of 34 | elapsed: 22.4s remaining: 0.0s [CV] bagging_fraction=0.5243355195208359, bagging_freq=5, boosting_type=dart, learning_rate=0.01930255919558733, max_bin=88, min_data_in_leaf=32, n_estimators=168 [LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32 [LightGBM] [Warning] bagging_fraction is set=0.5243355195208359, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5243355195208359 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5243355195208359, bagging_freq=5, boosting_type=dart, learning_rate=0.01930255919558733, max_bin=88, min_data_in_leaf=32, n_estimators=168, score=-3774.431, total= 0.7s [Parallel(n_jobs=1)]: Done 35 out of 35 | elapsed: 23.1s remaining: 0.0s [CV] bagging_fraction=0.5243355195208359, bagging_freq=5, boosting_type=dart, learning_rate=0.01930255919558733, max_bin=88, min_data_in_leaf=32, n_estimators=168 [LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32 [LightGBM] [Warning] bagging_fraction is set=0.5243355195208359, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5243355195208359 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5243355195208359, bagging_freq=5, boosting_type=dart, learning_rate=0.01930255919558733, max_bin=88, min_data_in_leaf=32, n_estimators=168, score=-3493.099, total= 1.1s [Parallel(n_jobs=1)]: Done 36 out of 36 | elapsed: 24.2s remaining: 0.0s [CV] bagging_fraction=0.5778608141213984, bagging_freq=5, boosting_type=dart, learning_rate=0.041700281649903255, max_bin=55, min_data_in_leaf=32, n_estimators=343 [LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32 [LightGBM] [Warning] bagging_fraction is set=0.5778608141213984, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5778608141213984 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5778608141213984, bagging_freq=5, boosting_type=dart, learning_rate=0.041700281649903255, max_bin=55, min_data_in_leaf=32, n_estimators=343, score=-2271.571, total= 0.7s [Parallel(n_jobs=1)]: Done 37 out of 37 | elapsed: 25.0s remaining: 0.0s [CV] bagging_fraction=0.5778608141213984, bagging_freq=5, boosting_type=dart, learning_rate=0.041700281649903255, max_bin=55, min_data_in_leaf=32, n_estimators=343 [LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32 [LightGBM] [Warning] bagging_fraction is set=0.5778608141213984, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5778608141213984 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5778608141213984, bagging_freq=5, boosting_type=dart, learning_rate=0.041700281649903255, max_bin=55, min_data_in_leaf=32, n_estimators=343, score=-2405.480, total= 0.8s [Parallel(n_jobs=1)]: Done 38 out of 38 | elapsed: 25.7s remaining: 0.0s [CV] bagging_fraction=0.5778608141213984, bagging_freq=5, boosting_type=dart, learning_rate=0.041700281649903255, max_bin=55, min_data_in_leaf=32, n_estimators=343 [LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32 [LightGBM] [Warning] bagging_fraction is set=0.5778608141213984, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5778608141213984 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5778608141213984, bagging_freq=5, boosting_type=dart, learning_rate=0.041700281649903255, max_bin=55, min_data_in_leaf=32, n_estimators=343, score=-2355.796, total= 0.9s [Parallel(n_jobs=1)]: Done 39 out of 39 | elapsed: 26.6s remaining: 0.0s [CV] bagging_fraction=0.5778608141213984, bagging_freq=5, boosting_type=dart, learning_rate=0.041700281649903255, max_bin=55, min_data_in_leaf=32, n_estimators=343 [LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32 [LightGBM] [Warning] bagging_fraction is set=0.5778608141213984, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5778608141213984 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5778608141213984, bagging_freq=5, boosting_type=dart, learning_rate=0.041700281649903255, max_bin=55, min_data_in_leaf=32, n_estimators=343, score=-2100.992, total= 0.7s [Parallel(n_jobs=1)]: Done 40 out of 40 | elapsed: 27.3s remaining: 0.0s [CV] bagging_fraction=0.5093342353584855, bagging_freq=8, boosting_type=gbdt, learning_rate=0.027683152281982492, max_bin=153, min_data_in_leaf=29, n_estimators=283 [LightGBM] [Warning] min_data_in_leaf is set=29, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=29 [LightGBM] [Warning] bagging_fraction is set=0.5093342353584855, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5093342353584855 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5093342353584855, bagging_freq=8, boosting_type=gbdt, learning_rate=0.027683152281982492, max_bin=153, min_data_in_leaf=29, n_estimators=283, score=-1723.977, total= 0.5s [Parallel(n_jobs=1)]: Done 41 out of 41 | elapsed: 27.8s remaining: 0.0s [CV] bagging_fraction=0.5093342353584855, bagging_freq=8, boosting_type=gbdt, learning_rate=0.027683152281982492, max_bin=153, min_data_in_leaf=29, n_estimators=283 [LightGBM] [Warning] min_data_in_leaf is set=29, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=29 [LightGBM] [Warning] bagging_fraction is set=0.5093342353584855, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5093342353584855 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5093342353584855, bagging_freq=8, boosting_type=gbdt, learning_rate=0.027683152281982492, max_bin=153, min_data_in_leaf=29, n_estimators=283, score=-1758.395, total= 0.6s [Parallel(n_jobs=1)]: Done 42 out of 42 | elapsed: 28.4s remaining: 0.0s [CV] bagging_fraction=0.5093342353584855, bagging_freq=8, boosting_type=gbdt, learning_rate=0.027683152281982492, max_bin=153, min_data_in_leaf=29, n_estimators=283 [LightGBM] [Warning] min_data_in_leaf is set=29, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=29 [LightGBM] [Warning] bagging_fraction is set=0.5093342353584855, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5093342353584855 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5093342353584855, bagging_freq=8, boosting_type=gbdt, learning_rate=0.027683152281982492, max_bin=153, min_data_in_leaf=29, n_estimators=283, score=-1587.592, total= 0.5s [Parallel(n_jobs=1)]: Done 43 out of 43 | elapsed: 28.8s remaining: 0.0s [CV] bagging_fraction=0.5093342353584855, bagging_freq=8, boosting_type=gbdt, learning_rate=0.027683152281982492, max_bin=153, min_data_in_leaf=29, n_estimators=283 [LightGBM] [Warning] min_data_in_leaf is set=29, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=29 [LightGBM] [Warning] bagging_fraction is set=0.5093342353584855, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5093342353584855 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5093342353584855, bagging_freq=8, boosting_type=gbdt, learning_rate=0.027683152281982492, max_bin=153, min_data_in_leaf=29, n_estimators=283, score=-1432.178, total= 0.4s [Parallel(n_jobs=1)]: Done 44 out of 44 | elapsed: 29.3s remaining: 0.0s [CV] bagging_fraction=0.48322456394635394, bagging_freq=7, boosting_type=gbdt, learning_rate=0.01266803593651592, max_bin=118, min_data_in_leaf=33, n_estimators=285 [LightGBM] [Warning] min_data_in_leaf is set=33, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=33 [LightGBM] [Warning] bagging_fraction is set=0.48322456394635394, subsample=1.0 will be ignored. Current value: bagging_fraction=0.48322456394635394 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.48322456394635394, bagging_freq=7, boosting_type=gbdt, learning_rate=0.01266803593651592, max_bin=118, min_data_in_leaf=33, n_estimators=285, score=-1893.508, total= 0.4s [Parallel(n_jobs=1)]: Done 45 out of 45 | elapsed: 29.7s remaining: 0.0s [CV] bagging_fraction=0.48322456394635394, bagging_freq=7, boosting_type=gbdt, learning_rate=0.01266803593651592, max_bin=118, min_data_in_leaf=33, n_estimators=285 [LightGBM] [Warning] min_data_in_leaf is set=33, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=33 [LightGBM] [Warning] bagging_fraction is set=0.48322456394635394, subsample=1.0 will be ignored. Current value: bagging_fraction=0.48322456394635394 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.48322456394635394, bagging_freq=7, boosting_type=gbdt, learning_rate=0.01266803593651592, max_bin=118, min_data_in_leaf=33, n_estimators=285, score=-1935.375, total= 0.5s [Parallel(n_jobs=1)]: Done 46 out of 46 | elapsed: 30.1s remaining: 0.0s [CV] bagging_fraction=0.48322456394635394, bagging_freq=7, boosting_type=gbdt, learning_rate=0.01266803593651592, max_bin=118, min_data_in_leaf=33, n_estimators=285 [LightGBM] [Warning] min_data_in_leaf is set=33, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=33 [LightGBM] [Warning] bagging_fraction is set=0.48322456394635394, subsample=1.0 will be ignored. Current value: bagging_fraction=0.48322456394635394 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.48322456394635394, bagging_freq=7, boosting_type=gbdt, learning_rate=0.01266803593651592, max_bin=118, min_data_in_leaf=33, n_estimators=285, score=-1817.536, total= 0.4s [Parallel(n_jobs=1)]: Done 47 out of 47 | elapsed: 30.6s remaining: 0.0s [CV] bagging_fraction=0.48322456394635394, bagging_freq=7, boosting_type=gbdt, learning_rate=0.01266803593651592, max_bin=118, min_data_in_leaf=33, n_estimators=285 [LightGBM] [Warning] min_data_in_leaf is set=33, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=33 [LightGBM] [Warning] bagging_fraction is set=0.48322456394635394, subsample=1.0 will be ignored. Current value: bagging_fraction=0.48322456394635394 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.48322456394635394, bagging_freq=7, boosting_type=gbdt, learning_rate=0.01266803593651592, max_bin=118, min_data_in_leaf=33, n_estimators=285, score=-1616.691, total= 0.3s [Parallel(n_jobs=1)]: Done 48 out of 48 | elapsed: 30.9s remaining: 0.0s [CV] bagging_fraction=0.2868609276045833, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09620715150800054, max_bin=71, min_data_in_leaf=27, n_estimators=178 [LightGBM] [Warning] min_data_in_leaf is set=27, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=27 [LightGBM] [Warning] bagging_fraction is set=0.2868609276045833, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2868609276045833 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2868609276045833, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09620715150800054, max_bin=71, min_data_in_leaf=27, n_estimators=178, score=-1727.084, total= 0.3s [Parallel(n_jobs=1)]: Done 49 out of 49 | elapsed: 31.2s remaining: 0.0s [CV] bagging_fraction=0.2868609276045833, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09620715150800054, max_bin=71, min_data_in_leaf=27, n_estimators=178 [LightGBM] [Warning] min_data_in_leaf is set=27, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=27 [LightGBM] [Warning] bagging_fraction is set=0.2868609276045833, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2868609276045833 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2868609276045833, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09620715150800054, max_bin=71, min_data_in_leaf=27, n_estimators=178, score=-1763.055, total= 0.3s [CV] bagging_fraction=0.2868609276045833, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09620715150800054, max_bin=71, min_data_in_leaf=27, n_estimators=178 [LightGBM] [Warning] min_data_in_leaf is set=27, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=27 [LightGBM] [Warning] bagging_fraction is set=0.2868609276045833, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2868609276045833 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2868609276045833, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09620715150800054, max_bin=71, min_data_in_leaf=27, n_estimators=178, score=-1567.695, total= 0.5s [CV] bagging_fraction=0.2868609276045833, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09620715150800054, max_bin=71, min_data_in_leaf=27, n_estimators=178 [LightGBM] [Warning] min_data_in_leaf is set=27, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=27 [LightGBM] [Warning] bagging_fraction is set=0.2868609276045833, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2868609276045833 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2868609276045833, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09620715150800054, max_bin=71, min_data_in_leaf=27, n_estimators=178, score=-1486.057, total= 0.8s [CV] bagging_fraction=0.22529894827273667, bagging_freq=8, boosting_type=dart, learning_rate=0.09917691340859398, max_bin=70, min_data_in_leaf=11, n_estimators=167 [LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11 [LightGBM] [Warning] bagging_fraction is set=0.22529894827273667, subsample=1.0 will be ignored. Current value: bagging_fraction=0.22529894827273667 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.22529894827273667, bagging_freq=8, boosting_type=dart, learning_rate=0.09917691340859398, max_bin=70, min_data_in_leaf=11, n_estimators=167, score=-1748.887, total= 1.5s [CV] bagging_fraction=0.22529894827273667, bagging_freq=8, boosting_type=dart, learning_rate=0.09917691340859398, max_bin=70, min_data_in_leaf=11, n_estimators=167 [LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11 [LightGBM] [Warning] bagging_fraction is set=0.22529894827273667, subsample=1.0 will be ignored. Current value: bagging_fraction=0.22529894827273667 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.22529894827273667, bagging_freq=8, boosting_type=dart, learning_rate=0.09917691340859398, max_bin=70, min_data_in_leaf=11, n_estimators=167, score=-1742.220, total= 1.5s [CV] bagging_fraction=0.22529894827273667, bagging_freq=8, boosting_type=dart, learning_rate=0.09917691340859398, max_bin=70, min_data_in_leaf=11, n_estimators=167 [LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11 [LightGBM] [Warning] bagging_fraction is set=0.22529894827273667, subsample=1.0 will be ignored. Current value: bagging_fraction=0.22529894827273667 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.22529894827273667, bagging_freq=8, boosting_type=dart, learning_rate=0.09917691340859398, max_bin=70, min_data_in_leaf=11, n_estimators=167, score=-1689.148, total= 2.2s [CV] bagging_fraction=0.22529894827273667, bagging_freq=8, boosting_type=dart, learning_rate=0.09917691340859398, max_bin=70, min_data_in_leaf=11, n_estimators=167 [LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11 [LightGBM] [Warning] bagging_fraction is set=0.22529894827273667, subsample=1.0 will be ignored. Current value: bagging_fraction=0.22529894827273667 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.22529894827273667, bagging_freq=8, boosting_type=dart, learning_rate=0.09917691340859398, max_bin=70, min_data_in_leaf=11, n_estimators=167, score=-1555.319, total= 2.2s [CV] bagging_fraction=0.24073296949155726, bagging_freq=7, boosting_type=dart, learning_rate=0.07873952677695592, max_bin=40, min_data_in_leaf=21, n_estimators=206 [LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21 [LightGBM] [Warning] bagging_fraction is set=0.24073296949155726, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24073296949155726 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.24073296949155726, bagging_freq=7, boosting_type=dart, learning_rate=0.07873952677695592, max_bin=40, min_data_in_leaf=21, n_estimators=206, score=-1891.067, total= 1.0s [CV] bagging_fraction=0.24073296949155726, bagging_freq=7, boosting_type=dart, learning_rate=0.07873952677695592, max_bin=40, min_data_in_leaf=21, n_estimators=206 [LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21 [LightGBM] [Warning] bagging_fraction is set=0.24073296949155726, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24073296949155726 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.24073296949155726, bagging_freq=7, boosting_type=dart, learning_rate=0.07873952677695592, max_bin=40, min_data_in_leaf=21, n_estimators=206, score=-2011.293, total= 1.3s [CV] bagging_fraction=0.24073296949155726, bagging_freq=7, boosting_type=dart, learning_rate=0.07873952677695592, max_bin=40, min_data_in_leaf=21, n_estimators=206 [LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21 [LightGBM] [Warning] bagging_fraction is set=0.24073296949155726, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24073296949155726 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.24073296949155726, bagging_freq=7, boosting_type=dart, learning_rate=0.07873952677695592, max_bin=40, min_data_in_leaf=21, n_estimators=206, score=-1891.876, total= 0.8s [CV] bagging_fraction=0.24073296949155726, bagging_freq=7, boosting_type=dart, learning_rate=0.07873952677695592, max_bin=40, min_data_in_leaf=21, n_estimators=206 [LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21 [LightGBM] [Warning] bagging_fraction is set=0.24073296949155726, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24073296949155726 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.24073296949155726, bagging_freq=7, boosting_type=dart, learning_rate=0.07873952677695592, max_bin=40, min_data_in_leaf=21, n_estimators=206, score=-1698.107, total= 0.8s [CV] bagging_fraction=0.4674969534439939, bagging_freq=5, boosting_type=gbdt, learning_rate=0.0009644304860341735, max_bin=192, min_data_in_leaf=16, n_estimators=315 [LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16 [LightGBM] [Warning] bagging_fraction is set=0.4674969534439939, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4674969534439939 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4674969534439939, bagging_freq=5, boosting_type=gbdt, learning_rate=0.0009644304860341735, max_bin=192, min_data_in_leaf=16, n_estimators=315, score=-2870.280, total= 0.7s [CV] bagging_fraction=0.4674969534439939, bagging_freq=5, boosting_type=gbdt, learning_rate=0.0009644304860341735, max_bin=192, min_data_in_leaf=16, n_estimators=315 [LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16 [LightGBM] [Warning] bagging_fraction is set=0.4674969534439939, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4674969534439939 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4674969534439939, bagging_freq=5, boosting_type=gbdt, learning_rate=0.0009644304860341735, max_bin=192, min_data_in_leaf=16, n_estimators=315, score=-2836.794, total= 0.8s [CV] bagging_fraction=0.4674969534439939, bagging_freq=5, boosting_type=gbdt, learning_rate=0.0009644304860341735, max_bin=192, min_data_in_leaf=16, n_estimators=315 [LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16 [LightGBM] [Warning] bagging_fraction is set=0.4674969534439939, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4674969534439939 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4674969534439939, bagging_freq=5, boosting_type=gbdt, learning_rate=0.0009644304860341735, max_bin=192, min_data_in_leaf=16, n_estimators=315, score=-2916.507, total= 1.0s [CV] bagging_fraction=0.4674969534439939, bagging_freq=5, boosting_type=gbdt, learning_rate=0.0009644304860341735, max_bin=192, min_data_in_leaf=16, n_estimators=315 [LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16 [LightGBM] [Warning] bagging_fraction is set=0.4674969534439939, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4674969534439939 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4674969534439939, bagging_freq=5, boosting_type=gbdt, learning_rate=0.0009644304860341735, max_bin=192, min_data_in_leaf=16, n_estimators=315, score=-2588.944, total= 0.8s [CV] bagging_fraction=0.27731039009102576, bagging_freq=4, boosting_type=dart, learning_rate=0.0307309942429593, max_bin=193, min_data_in_leaf=30, n_estimators=164 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.27731039009102576, subsample=1.0 will be ignored. Current value: bagging_fraction=0.27731039009102576 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.27731039009102576, bagging_freq=4, boosting_type=dart, learning_rate=0.0307309942429593, max_bin=193, min_data_in_leaf=30, n_estimators=164, score=-2773.205, total= 1.2s [CV] bagging_fraction=0.27731039009102576, bagging_freq=4, boosting_type=dart, learning_rate=0.0307309942429593, max_bin=193, min_data_in_leaf=30, n_estimators=164 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.27731039009102576, subsample=1.0 will be ignored. Current value: bagging_fraction=0.27731039009102576 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.27731039009102576, bagging_freq=4, boosting_type=dart, learning_rate=0.0307309942429593, max_bin=193, min_data_in_leaf=30, n_estimators=164, score=-2938.013, total= 0.7s [CV] bagging_fraction=0.27731039009102576, bagging_freq=4, boosting_type=dart, learning_rate=0.0307309942429593, max_bin=193, min_data_in_leaf=30, n_estimators=164 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.27731039009102576, subsample=1.0 will be ignored. Current value: bagging_fraction=0.27731039009102576 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.27731039009102576, bagging_freq=4, boosting_type=dart, learning_rate=0.0307309942429593, max_bin=193, min_data_in_leaf=30, n_estimators=164, score=-2924.392, total= 0.9s [CV] bagging_fraction=0.27731039009102576, bagging_freq=4, boosting_type=dart, learning_rate=0.0307309942429593, max_bin=193, min_data_in_leaf=30, n_estimators=164 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.27731039009102576, subsample=1.0 will be ignored. Current value: bagging_fraction=0.27731039009102576 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.27731039009102576, bagging_freq=4, boosting_type=dart, learning_rate=0.0307309942429593, max_bin=193, min_data_in_leaf=30, n_estimators=164, score=-2645.014, total= 0.7s [CV] bagging_fraction=0.44470411661430215, bagging_freq=8, boosting_type=gbdt, learning_rate=0.07824077302218983, max_bin=108, min_data_in_leaf=28, n_estimators=333 [LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28 [LightGBM] [Warning] bagging_fraction is set=0.44470411661430215, subsample=1.0 will be ignored. Current value: bagging_fraction=0.44470411661430215 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.44470411661430215, bagging_freq=8, boosting_type=gbdt, learning_rate=0.07824077302218983, max_bin=108, min_data_in_leaf=28, n_estimators=333, score=-1632.974, total= 0.6s [CV] bagging_fraction=0.44470411661430215, bagging_freq=8, boosting_type=gbdt, learning_rate=0.07824077302218983, max_bin=108, min_data_in_leaf=28, n_estimators=333 [LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28 [LightGBM] [Warning] bagging_fraction is set=0.44470411661430215, subsample=1.0 will be ignored. Current value: bagging_fraction=0.44470411661430215 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.44470411661430215, bagging_freq=8, boosting_type=gbdt, learning_rate=0.07824077302218983, max_bin=108, min_data_in_leaf=28, n_estimators=333, score=-1677.748, total= 0.9s [CV] bagging_fraction=0.44470411661430215, bagging_freq=8, boosting_type=gbdt, learning_rate=0.07824077302218983, max_bin=108, min_data_in_leaf=28, n_estimators=333 [LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28 [LightGBM] [Warning] bagging_fraction is set=0.44470411661430215, subsample=1.0 will be ignored. Current value: bagging_fraction=0.44470411661430215 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.44470411661430215, bagging_freq=8, boosting_type=gbdt, learning_rate=0.07824077302218983, max_bin=108, min_data_in_leaf=28, n_estimators=333, score=-1512.158, total= 1.1s [CV] bagging_fraction=0.44470411661430215, bagging_freq=8, boosting_type=gbdt, learning_rate=0.07824077302218983, max_bin=108, min_data_in_leaf=28, n_estimators=333 [LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28 [LightGBM] [Warning] bagging_fraction is set=0.44470411661430215, subsample=1.0 will be ignored. Current value: bagging_fraction=0.44470411661430215 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.44470411661430215, bagging_freq=8, boosting_type=gbdt, learning_rate=0.07824077302218983, max_bin=108, min_data_in_leaf=28, n_estimators=333, score=-1394.685, total= 0.7s [CV] bagging_fraction=0.5904164890105315, bagging_freq=9, boosting_type=dart, learning_rate=0.0911419965541324, max_bin=130, min_data_in_leaf=48, n_estimators=166 [LightGBM] [Warning] min_data_in_leaf is set=48, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=48 [LightGBM] [Warning] bagging_fraction is set=0.5904164890105315, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5904164890105315 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5904164890105315, bagging_freq=9, boosting_type=dart, learning_rate=0.0911419965541324, max_bin=130, min_data_in_leaf=48, n_estimators=166, score=-1784.860, total= 0.9s [CV] bagging_fraction=0.5904164890105315, bagging_freq=9, boosting_type=dart, learning_rate=0.0911419965541324, max_bin=130, min_data_in_leaf=48, n_estimators=166 [LightGBM] [Warning] min_data_in_leaf is set=48, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=48 [LightGBM] [Warning] bagging_fraction is set=0.5904164890105315, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5904164890105315 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5904164890105315, bagging_freq=9, boosting_type=dart, learning_rate=0.0911419965541324, max_bin=130, min_data_in_leaf=48, n_estimators=166, score=-1897.409, total= 1.4s [CV] bagging_fraction=0.5904164890105315, bagging_freq=9, boosting_type=dart, learning_rate=0.0911419965541324, max_bin=130, min_data_in_leaf=48, n_estimators=166 [LightGBM] [Warning] min_data_in_leaf is set=48, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=48 [LightGBM] [Warning] bagging_fraction is set=0.5904164890105315, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5904164890105315 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5904164890105315, bagging_freq=9, boosting_type=dart, learning_rate=0.0911419965541324, max_bin=130, min_data_in_leaf=48, n_estimators=166, score=-1761.863, total= 1.0s [CV] bagging_fraction=0.5904164890105315, bagging_freq=9, boosting_type=dart, learning_rate=0.0911419965541324, max_bin=130, min_data_in_leaf=48, n_estimators=166 [LightGBM] [Warning] min_data_in_leaf is set=48, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=48 [LightGBM] [Warning] bagging_fraction is set=0.5904164890105315, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5904164890105315 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5904164890105315, bagging_freq=9, boosting_type=dart, learning_rate=0.0911419965541324, max_bin=130, min_data_in_leaf=48, n_estimators=166, score=-1553.445, total= 1.1s [CV] bagging_fraction=0.2177175661171621, bagging_freq=4, boosting_type=dart, learning_rate=0.01621020286637137, max_bin=54, min_data_in_leaf=21, n_estimators=163 [LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21 [LightGBM] [Warning] bagging_fraction is set=0.2177175661171621, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2177175661171621 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2177175661171621, bagging_freq=4, boosting_type=dart, learning_rate=0.01621020286637137, max_bin=54, min_data_in_leaf=21, n_estimators=163, score=-3956.390, total= 1.4s [CV] bagging_fraction=0.2177175661171621, bagging_freq=4, boosting_type=dart, learning_rate=0.01621020286637137, max_bin=54, min_data_in_leaf=21, n_estimators=163 [LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21 [LightGBM] [Warning] bagging_fraction is set=0.2177175661171621, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2177175661171621 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2177175661171621, bagging_freq=4, boosting_type=dart, learning_rate=0.01621020286637137, max_bin=54, min_data_in_leaf=21, n_estimators=163, score=-4125.425, total= 0.8s [CV] bagging_fraction=0.2177175661171621, bagging_freq=4, boosting_type=dart, learning_rate=0.01621020286637137, max_bin=54, min_data_in_leaf=21, n_estimators=163 [LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21 [LightGBM] [Warning] bagging_fraction is set=0.2177175661171621, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2177175661171621 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2177175661171621, bagging_freq=4, boosting_type=dart, learning_rate=0.01621020286637137, max_bin=54, min_data_in_leaf=21, n_estimators=163, score=-4148.849, total= 0.6s [CV] bagging_fraction=0.2177175661171621, bagging_freq=4, boosting_type=dart, learning_rate=0.01621020286637137, max_bin=54, min_data_in_leaf=21, n_estimators=163 [LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21 [LightGBM] [Warning] bagging_fraction is set=0.2177175661171621, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2177175661171621 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2177175661171621, bagging_freq=4, boosting_type=dart, learning_rate=0.01621020286637137, max_bin=54, min_data_in_leaf=21, n_estimators=163, score=-3882.768, total= 0.8s [CV] bagging_fraction=0.2833247761623149, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06344793737344055, max_bin=42, min_data_in_leaf=12, n_estimators=172 [LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12 [LightGBM] [Warning] bagging_fraction is set=0.2833247761623149, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2833247761623149 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2833247761623149, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06344793737344055, max_bin=42, min_data_in_leaf=12, n_estimators=172, score=-1731.040, total= 0.5s [CV] bagging_fraction=0.2833247761623149, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06344793737344055, max_bin=42, min_data_in_leaf=12, n_estimators=172 [LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12 [LightGBM] [Warning] bagging_fraction is set=0.2833247761623149, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2833247761623149 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2833247761623149, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06344793737344055, max_bin=42, min_data_in_leaf=12, n_estimators=172, score=-1713.844, total= 0.6s [CV] bagging_fraction=0.2833247761623149, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06344793737344055, max_bin=42, min_data_in_leaf=12, n_estimators=172 [LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12 [LightGBM] [Warning] bagging_fraction is set=0.2833247761623149, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2833247761623149 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2833247761623149, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06344793737344055, max_bin=42, min_data_in_leaf=12, n_estimators=172, score=-1528.491, total= 0.9s [CV] bagging_fraction=0.2833247761623149, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06344793737344055, max_bin=42, min_data_in_leaf=12, n_estimators=172 [LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12 [LightGBM] [Warning] bagging_fraction is set=0.2833247761623149, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2833247761623149 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2833247761623149, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06344793737344055, max_bin=42, min_data_in_leaf=12, n_estimators=172, score=-1424.224, total= 0.5s [CV] bagging_fraction=0.30137038109414, bagging_freq=9, boosting_type=dart, learning_rate=0.08595581889543426, max_bin=136, min_data_in_leaf=18, n_estimators=162 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] bagging_fraction is set=0.30137038109414, subsample=1.0 will be ignored. Current value: bagging_fraction=0.30137038109414 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.30137038109414, bagging_freq=9, boosting_type=dart, learning_rate=0.08595581889543426, max_bin=136, min_data_in_leaf=18, n_estimators=162, score=-1758.813, total= 0.8s [CV] bagging_fraction=0.30137038109414, bagging_freq=9, boosting_type=dart, learning_rate=0.08595581889543426, max_bin=136, min_data_in_leaf=18, n_estimators=162 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] bagging_fraction is set=0.30137038109414, subsample=1.0 will be ignored. Current value: bagging_fraction=0.30137038109414 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.30137038109414, bagging_freq=9, boosting_type=dart, learning_rate=0.08595581889543426, max_bin=136, min_data_in_leaf=18, n_estimators=162, score=-1839.344, total= 0.9s [CV] bagging_fraction=0.30137038109414, bagging_freq=9, boosting_type=dart, learning_rate=0.08595581889543426, max_bin=136, min_data_in_leaf=18, n_estimators=162 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] bagging_fraction is set=0.30137038109414, subsample=1.0 will be ignored. Current value: bagging_fraction=0.30137038109414 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.30137038109414, bagging_freq=9, boosting_type=dart, learning_rate=0.08595581889543426, max_bin=136, min_data_in_leaf=18, n_estimators=162, score=-1744.802, total= 0.8s [CV] bagging_fraction=0.30137038109414, bagging_freq=9, boosting_type=dart, learning_rate=0.08595581889543426, max_bin=136, min_data_in_leaf=18, n_estimators=162 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] bagging_fraction is set=0.30137038109414, subsample=1.0 will be ignored. Current value: bagging_fraction=0.30137038109414 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.30137038109414, bagging_freq=9, boosting_type=dart, learning_rate=0.08595581889543426, max_bin=136, min_data_in_leaf=18, n_estimators=162, score=-1519.270, total= 1.2s [CV] bagging_fraction=0.6759963941523366, bagging_freq=9, boosting_type=gbdt, learning_rate=0.08033682536423688, max_bin=160, min_data_in_leaf=35, n_estimators=295 [LightGBM] [Warning] min_data_in_leaf is set=35, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=35 [LightGBM] [Warning] bagging_fraction is set=0.6759963941523366, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6759963941523366 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6759963941523366, bagging_freq=9, boosting_type=gbdt, learning_rate=0.08033682536423688, max_bin=160, min_data_in_leaf=35, n_estimators=295, score=-1668.082, total= 0.7s [CV] bagging_fraction=0.6759963941523366, bagging_freq=9, boosting_type=gbdt, learning_rate=0.08033682536423688, max_bin=160, min_data_in_leaf=35, n_estimators=295 [LightGBM] [Warning] min_data_in_leaf is set=35, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=35 [LightGBM] [Warning] bagging_fraction is set=0.6759963941523366, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6759963941523366 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6759963941523366, bagging_freq=9, boosting_type=gbdt, learning_rate=0.08033682536423688, max_bin=160, min_data_in_leaf=35, n_estimators=295, score=-1649.714, total= 0.8s [CV] bagging_fraction=0.6759963941523366, bagging_freq=9, boosting_type=gbdt, learning_rate=0.08033682536423688, max_bin=160, min_data_in_leaf=35, n_estimators=295 [LightGBM] [Warning] min_data_in_leaf is set=35, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=35 [LightGBM] [Warning] bagging_fraction is set=0.6759963941523366, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6759963941523366 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6759963941523366, bagging_freq=9, boosting_type=gbdt, learning_rate=0.08033682536423688, max_bin=160, min_data_in_leaf=35, n_estimators=295, score=-1422.694, total= 1.0s [CV] bagging_fraction=0.6759963941523366, bagging_freq=9, boosting_type=gbdt, learning_rate=0.08033682536423688, max_bin=160, min_data_in_leaf=35, n_estimators=295 [LightGBM] [Warning] min_data_in_leaf is set=35, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=35 [LightGBM] [Warning] bagging_fraction is set=0.6759963941523366, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6759963941523366 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6759963941523366, bagging_freq=9, boosting_type=gbdt, learning_rate=0.08033682536423688, max_bin=160, min_data_in_leaf=35, n_estimators=295, score=-1338.215, total= 0.6s [CV] bagging_fraction=0.5446504364153408, bagging_freq=8, boosting_type=dart, learning_rate=0.0755316223320965, max_bin=105, min_data_in_leaf=19, n_estimators=193 [LightGBM] [Warning] min_data_in_leaf is set=19, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=19 [LightGBM] [Warning] bagging_fraction is set=0.5446504364153408, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5446504364153408 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5446504364153408, bagging_freq=8, boosting_type=dart, learning_rate=0.0755316223320965, max_bin=105, min_data_in_leaf=19, n_estimators=193, score=-1747.650, total= 1.1s [CV] bagging_fraction=0.5446504364153408, bagging_freq=8, boosting_type=dart, learning_rate=0.0755316223320965, max_bin=105, min_data_in_leaf=19, n_estimators=193 [LightGBM] [Warning] min_data_in_leaf is set=19, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=19 [LightGBM] [Warning] bagging_fraction is set=0.5446504364153408, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5446504364153408 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5446504364153408, bagging_freq=8, boosting_type=dart, learning_rate=0.0755316223320965, max_bin=105, min_data_in_leaf=19, n_estimators=193, score=-1824.570, total= 1.7s [CV] bagging_fraction=0.5446504364153408, bagging_freq=8, boosting_type=dart, learning_rate=0.0755316223320965, max_bin=105, min_data_in_leaf=19, n_estimators=193 [LightGBM] [Warning] min_data_in_leaf is set=19, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=19 [LightGBM] [Warning] bagging_fraction is set=0.5446504364153408, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5446504364153408 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200 [CV] bagging_fraction=0.5446504364153408, bagging_freq=8, boosting_type=dart, learning_rate=0.0755316223320965, max_bin=105, min_data_in_leaf=19, n_estimators=193, score=-1676.990, total= 1.3s [CV] bagging_fraction=0.5446504364153408, bagging_freq=8, boosting_type=dart, learning_rate=0.0755316223320965, max_bin=105, min_data_in_leaf=19, n_estimators=193 [LightGBM] [Warning] min_data_in_leaf is set=19, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=19 [LightGBM] [Warning] bagging_fraction is set=0.5446504364153408, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5446504364153408 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5446504364153408, bagging_freq=8, boosting_type=dart, learning_rate=0.0755316223320965, max_bin=105, min_data_in_leaf=19, n_estimators=193, score=-1523.145, total= 1.2s [CV] bagging_fraction=0.26015593044679003, bagging_freq=5, boosting_type=dart, learning_rate=0.03345548956203344, max_bin=61, min_data_in_leaf=20, n_estimators=293 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.26015593044679003, subsample=1.0 will be ignored. Current value: bagging_fraction=0.26015593044679003 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.26015593044679003, bagging_freq=5, boosting_type=dart, learning_rate=0.03345548956203344, max_bin=61, min_data_in_leaf=20, n_estimators=293, score=-2580.053, total= 1.3s [CV] bagging_fraction=0.26015593044679003, bagging_freq=5, boosting_type=dart, learning_rate=0.03345548956203344, max_bin=61, min_data_in_leaf=20, n_estimators=293 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.26015593044679003, subsample=1.0 will be ignored. Current value: bagging_fraction=0.26015593044679003 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.26015593044679003, bagging_freq=5, boosting_type=dart, learning_rate=0.03345548956203344, max_bin=61, min_data_in_leaf=20, n_estimators=293, score=-2750.448, total= 1.0s [CV] bagging_fraction=0.26015593044679003, bagging_freq=5, boosting_type=dart, learning_rate=0.03345548956203344, max_bin=61, min_data_in_leaf=20, n_estimators=293 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.26015593044679003, subsample=1.0 will be ignored. Current value: bagging_fraction=0.26015593044679003 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.26015593044679003, bagging_freq=5, boosting_type=dart, learning_rate=0.03345548956203344, max_bin=61, min_data_in_leaf=20, n_estimators=293, score=-2771.519, total= 2.1s [CV] bagging_fraction=0.26015593044679003, bagging_freq=5, boosting_type=dart, learning_rate=0.03345548956203344, max_bin=61, min_data_in_leaf=20, n_estimators=293 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.26015593044679003, subsample=1.0 will be ignored. Current value: bagging_fraction=0.26015593044679003 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.26015593044679003, bagging_freq=5, boosting_type=dart, learning_rate=0.03345548956203344, max_bin=61, min_data_in_leaf=20, n_estimators=293, score=-2469.566, total= 2.9s [CV] bagging_fraction=0.690004744222891, bagging_freq=6, boosting_type=dart, learning_rate=0.020488912797526373, max_bin=144, min_data_in_leaf=22, n_estimators=247 [LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22 [LightGBM] [Warning] bagging_fraction is set=0.690004744222891, subsample=1.0 will be ignored. Current value: bagging_fraction=0.690004744222891 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.690004744222891, bagging_freq=6, boosting_type=dart, learning_rate=0.020488912797526373, max_bin=144, min_data_in_leaf=22, n_estimators=247, score=-3395.694, total= 1.6s [CV] bagging_fraction=0.690004744222891, bagging_freq=6, boosting_type=dart, learning_rate=0.020488912797526373, max_bin=144, min_data_in_leaf=22, n_estimators=247 [LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22 [LightGBM] [Warning] bagging_fraction is set=0.690004744222891, subsample=1.0 will be ignored. Current value: bagging_fraction=0.690004744222891 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.690004744222891, bagging_freq=6, boosting_type=dart, learning_rate=0.020488912797526373, max_bin=144, min_data_in_leaf=22, n_estimators=247, score=-3545.359, total= 1.6s [CV] bagging_fraction=0.690004744222891, bagging_freq=6, boosting_type=dart, learning_rate=0.020488912797526373, max_bin=144, min_data_in_leaf=22, n_estimators=247 [LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22 [LightGBM] [Warning] bagging_fraction is set=0.690004744222891, subsample=1.0 will be ignored. Current value: bagging_fraction=0.690004744222891 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.690004744222891, bagging_freq=6, boosting_type=dart, learning_rate=0.020488912797526373, max_bin=144, min_data_in_leaf=22, n_estimators=247, score=-3569.017, total= 1.3s [CV] bagging_fraction=0.690004744222891, bagging_freq=6, boosting_type=dart, learning_rate=0.020488912797526373, max_bin=144, min_data_in_leaf=22, n_estimators=247 [LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22 [LightGBM] [Warning] bagging_fraction is set=0.690004744222891, subsample=1.0 will be ignored. Current value: bagging_fraction=0.690004744222891 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.690004744222891, bagging_freq=6, boosting_type=dart, learning_rate=0.020488912797526373, max_bin=144, min_data_in_leaf=22, n_estimators=247, score=-3323.974, total= 1.1s [CV] bagging_fraction=0.47897405278202526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.09599176990897997, max_bin=117, min_data_in_leaf=23, n_estimators=307 [LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23 [LightGBM] [Warning] bagging_fraction is set=0.47897405278202526, subsample=1.0 will be ignored. Current value: bagging_fraction=0.47897405278202526 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.47897405278202526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.09599176990897997, max_bin=117, min_data_in_leaf=23, n_estimators=307, score=-1558.276, total= 0.8s [CV] bagging_fraction=0.47897405278202526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.09599176990897997, max_bin=117, min_data_in_leaf=23, n_estimators=307 [LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23 [LightGBM] [Warning] bagging_fraction is set=0.47897405278202526, subsample=1.0 will be ignored. Current value: bagging_fraction=0.47897405278202526 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.47897405278202526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.09599176990897997, max_bin=117, min_data_in_leaf=23, n_estimators=307, score=-1578.848, total= 0.9s [CV] bagging_fraction=0.47897405278202526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.09599176990897997, max_bin=117, min_data_in_leaf=23, n_estimators=307 [LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23 [LightGBM] [Warning] bagging_fraction is set=0.47897405278202526, subsample=1.0 will be ignored. Current value: bagging_fraction=0.47897405278202526 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.47897405278202526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.09599176990897997, max_bin=117, min_data_in_leaf=23, n_estimators=307, score=-1480.354, total= 1.1s [CV] bagging_fraction=0.47897405278202526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.09599176990897997, max_bin=117, min_data_in_leaf=23, n_estimators=307 [LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23 [LightGBM] [Warning] bagging_fraction is set=0.47897405278202526, subsample=1.0 will be ignored. Current value: bagging_fraction=0.47897405278202526 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.47897405278202526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.09599176990897997, max_bin=117, min_data_in_leaf=23, n_estimators=307, score=-1378.688, total= 0.9s [CV] bagging_fraction=0.3386164174904431, bagging_freq=7, boosting_type=gbdt, learning_rate=0.031669277037269745, max_bin=41, min_data_in_leaf=28, n_estimators=231 [LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28 [LightGBM] [Warning] bagging_fraction is set=0.3386164174904431, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3386164174904431 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3386164174904431, bagging_freq=7, boosting_type=gbdt, learning_rate=0.031669277037269745, max_bin=41, min_data_in_leaf=28, n_estimators=231, score=-1796.468, total= 0.3s [CV] bagging_fraction=0.3386164174904431, bagging_freq=7, boosting_type=gbdt, learning_rate=0.031669277037269745, max_bin=41, min_data_in_leaf=28, n_estimators=231 [LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28 [LightGBM] [Warning] bagging_fraction is set=0.3386164174904431, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3386164174904431 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3386164174904431, bagging_freq=7, boosting_type=gbdt, learning_rate=0.031669277037269745, max_bin=41, min_data_in_leaf=28, n_estimators=231, score=-1868.623, total= 0.3s [CV] bagging_fraction=0.3386164174904431, bagging_freq=7, boosting_type=gbdt, learning_rate=0.031669277037269745, max_bin=41, min_data_in_leaf=28, n_estimators=231 [LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28 [LightGBM] [Warning] bagging_fraction is set=0.3386164174904431, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3386164174904431 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3386164174904431, bagging_freq=7, boosting_type=gbdt, learning_rate=0.031669277037269745, max_bin=41, min_data_in_leaf=28, n_estimators=231, score=-1639.481, total= 0.3s [CV] bagging_fraction=0.3386164174904431, bagging_freq=7, boosting_type=gbdt, learning_rate=0.031669277037269745, max_bin=41, min_data_in_leaf=28, n_estimators=231 [LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28 [LightGBM] [Warning] bagging_fraction is set=0.3386164174904431, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3386164174904431 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3386164174904431, bagging_freq=7, boosting_type=gbdt, learning_rate=0.031669277037269745, max_bin=41, min_data_in_leaf=28, n_estimators=231, score=-1512.819, total= 0.4s [CV] bagging_fraction=0.583251983185906, bagging_freq=7, boosting_type=gbdt, learning_rate=0.02541778255499986, max_bin=147, min_data_in_leaf=18, n_estimators=210 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] bagging_fraction is set=0.583251983185906, subsample=1.0 will be ignored. Current value: bagging_fraction=0.583251983185906 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.583251983185906, bagging_freq=7, boosting_type=gbdt, learning_rate=0.02541778255499986, max_bin=147, min_data_in_leaf=18, n_estimators=210, score=-1638.245, total= 0.8s [CV] bagging_fraction=0.583251983185906, bagging_freq=7, boosting_type=gbdt, learning_rate=0.02541778255499986, max_bin=147, min_data_in_leaf=18, n_estimators=210 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] bagging_fraction is set=0.583251983185906, subsample=1.0 will be ignored. Current value: bagging_fraction=0.583251983185906 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.583251983185906, bagging_freq=7, boosting_type=gbdt, learning_rate=0.02541778255499986, max_bin=147, min_data_in_leaf=18, n_estimators=210, score=-1681.454, total= 0.6s [CV] bagging_fraction=0.583251983185906, bagging_freq=7, boosting_type=gbdt, learning_rate=0.02541778255499986, max_bin=147, min_data_in_leaf=18, n_estimators=210 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] bagging_fraction is set=0.583251983185906, subsample=1.0 will be ignored. Current value: bagging_fraction=0.583251983185906 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.583251983185906, bagging_freq=7, boosting_type=gbdt, learning_rate=0.02541778255499986, max_bin=147, min_data_in_leaf=18, n_estimators=210, score=-1495.958, total= 0.6s [CV] bagging_fraction=0.583251983185906, bagging_freq=7, boosting_type=gbdt, learning_rate=0.02541778255499986, max_bin=147, min_data_in_leaf=18, n_estimators=210 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] bagging_fraction is set=0.583251983185906, subsample=1.0 will be ignored. Current value: bagging_fraction=0.583251983185906 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.583251983185906, bagging_freq=7, boosting_type=gbdt, learning_rate=0.02541778255499986, max_bin=147, min_data_in_leaf=18, n_estimators=210, score=-1359.525, total= 1.0s [CV] bagging_fraction=0.4012474497191792, bagging_freq=6, boosting_type=gbdt, learning_rate=0.00575984892042627, max_bin=144, min_data_in_leaf=42, n_estimators=257 [LightGBM] [Warning] min_data_in_leaf is set=42, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=42 [LightGBM] [Warning] bagging_fraction is set=0.4012474497191792, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4012474497191792 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4012474497191792, bagging_freq=6, boosting_type=gbdt, learning_rate=0.00575984892042627, max_bin=144, min_data_in_leaf=42, n_estimators=257, score=-2277.960, total= 0.3s [CV] bagging_fraction=0.4012474497191792, bagging_freq=6, boosting_type=gbdt, learning_rate=0.00575984892042627, max_bin=144, min_data_in_leaf=42, n_estimators=257 [LightGBM] [Warning] min_data_in_leaf is set=42, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=42 [LightGBM] [Warning] bagging_fraction is set=0.4012474497191792, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4012474497191792 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4012474497191792, bagging_freq=6, boosting_type=gbdt, learning_rate=0.00575984892042627, max_bin=144, min_data_in_leaf=42, n_estimators=257, score=-2302.517, total= 0.3s [CV] bagging_fraction=0.4012474497191792, bagging_freq=6, boosting_type=gbdt, learning_rate=0.00575984892042627, max_bin=144, min_data_in_leaf=42, n_estimators=257 [LightGBM] [Warning] min_data_in_leaf is set=42, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=42 [LightGBM] [Warning] bagging_fraction is set=0.4012474497191792, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4012474497191792 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4012474497191792, bagging_freq=6, boosting_type=gbdt, learning_rate=0.00575984892042627, max_bin=144, min_data_in_leaf=42, n_estimators=257, score=-2250.934, total= 0.3s [CV] bagging_fraction=0.4012474497191792, bagging_freq=6, boosting_type=gbdt, learning_rate=0.00575984892042627, max_bin=144, min_data_in_leaf=42, n_estimators=257 [LightGBM] [Warning] min_data_in_leaf is set=42, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=42 [LightGBM] [Warning] bagging_fraction is set=0.4012474497191792, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4012474497191792 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4012474497191792, bagging_freq=6, boosting_type=gbdt, learning_rate=0.00575984892042627, max_bin=144, min_data_in_leaf=42, n_estimators=257, score=-1979.651, total= 0.3s [CV] bagging_fraction=0.28557645150265804, bagging_freq=5, boosting_type=dart, learning_rate=0.03830872492230061, max_bin=63, min_data_in_leaf=14, n_estimators=332 [LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14 [LightGBM] [Warning] bagging_fraction is set=0.28557645150265804, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28557645150265804 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.28557645150265804, bagging_freq=5, boosting_type=dart, learning_rate=0.03830872492230061, max_bin=63, min_data_in_leaf=14, n_estimators=332, score=-2361.861, total= 1.2s [CV] bagging_fraction=0.28557645150265804, bagging_freq=5, boosting_type=dart, learning_rate=0.03830872492230061, max_bin=63, min_data_in_leaf=14, n_estimators=332 [LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14 [LightGBM] [Warning] bagging_fraction is set=0.28557645150265804, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28557645150265804 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.28557645150265804, bagging_freq=5, boosting_type=dart, learning_rate=0.03830872492230061, max_bin=63, min_data_in_leaf=14, n_estimators=332, score=-2501.601, total= 0.9s [CV] bagging_fraction=0.28557645150265804, bagging_freq=5, boosting_type=dart, learning_rate=0.03830872492230061, max_bin=63, min_data_in_leaf=14, n_estimators=332 [LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14 [LightGBM] [Warning] bagging_fraction is set=0.28557645150265804, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28557645150265804 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.28557645150265804, bagging_freq=5, boosting_type=dart, learning_rate=0.03830872492230061, max_bin=63, min_data_in_leaf=14, n_estimators=332, score=-2484.148, total= 1.2s [CV] bagging_fraction=0.28557645150265804, bagging_freq=5, boosting_type=dart, learning_rate=0.03830872492230061, max_bin=63, min_data_in_leaf=14, n_estimators=332 [LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14 [LightGBM] [Warning] bagging_fraction is set=0.28557645150265804, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28557645150265804 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.28557645150265804, bagging_freq=5, boosting_type=dart, learning_rate=0.03830872492230061, max_bin=63, min_data_in_leaf=14, n_estimators=332, score=-2225.460, total= 1.1s [CV] bagging_fraction=0.68770106672526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.00394614507967167, max_bin=165, min_data_in_leaf=20, n_estimators=319 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.68770106672526, subsample=1.0 will be ignored. Current value: bagging_fraction=0.68770106672526 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.68770106672526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.00394614507967167, max_bin=165, min_data_in_leaf=20, n_estimators=319, score=-2264.621, total= 0.6s [CV] bagging_fraction=0.68770106672526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.00394614507967167, max_bin=165, min_data_in_leaf=20, n_estimators=319 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.68770106672526, subsample=1.0 will be ignored. Current value: bagging_fraction=0.68770106672526 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.68770106672526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.00394614507967167, max_bin=165, min_data_in_leaf=20, n_estimators=319, score=-2244.802, total= 0.7s [CV] bagging_fraction=0.68770106672526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.00394614507967167, max_bin=165, min_data_in_leaf=20, n_estimators=319 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.68770106672526, subsample=1.0 will be ignored. Current value: bagging_fraction=0.68770106672526 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.68770106672526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.00394614507967167, max_bin=165, min_data_in_leaf=20, n_estimators=319, score=-2268.020, total= 1.7s [CV] bagging_fraction=0.68770106672526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.00394614507967167, max_bin=165, min_data_in_leaf=20, n_estimators=319 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] bagging_fraction is set=0.68770106672526, subsample=1.0 will be ignored. Current value: bagging_fraction=0.68770106672526 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.68770106672526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.00394614507967167, max_bin=165, min_data_in_leaf=20, n_estimators=319, score=-1990.219, total= 1.4s [CV] bagging_fraction=0.6716424395606857, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04536291058106631, max_bin=74, min_data_in_leaf=41, n_estimators=156 [LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41 [LightGBM] [Warning] bagging_fraction is set=0.6716424395606857, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6716424395606857 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6716424395606857, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04536291058106631, max_bin=74, min_data_in_leaf=41, n_estimators=156, score=-1671.327, total= 0.5s [CV] bagging_fraction=0.6716424395606857, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04536291058106631, max_bin=74, min_data_in_leaf=41, n_estimators=156 [LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41 [LightGBM] [Warning] bagging_fraction is set=0.6716424395606857, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6716424395606857 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6716424395606857, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04536291058106631, max_bin=74, min_data_in_leaf=41, n_estimators=156, score=-1709.087, total= 0.5s [CV] bagging_fraction=0.6716424395606857, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04536291058106631, max_bin=74, min_data_in_leaf=41, n_estimators=156 [LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41 [LightGBM] [Warning] bagging_fraction is set=0.6716424395606857, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6716424395606857 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6716424395606857, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04536291058106631, max_bin=74, min_data_in_leaf=41, n_estimators=156, score=-1496.344, total= 0.7s [CV] bagging_fraction=0.6716424395606857, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04536291058106631, max_bin=74, min_data_in_leaf=41, n_estimators=156 [LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41 [LightGBM] [Warning] bagging_fraction is set=0.6716424395606857, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6716424395606857 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6716424395606857, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04536291058106631, max_bin=74, min_data_in_leaf=41, n_estimators=156, score=-1407.568, total= 0.5s [CV] bagging_fraction=0.5745772422932669, bagging_freq=6, boosting_type=dart, learning_rate=0.009565808020574973, max_bin=77, min_data_in_leaf=11, n_estimators=206 [LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11 [LightGBM] [Warning] bagging_fraction is set=0.5745772422932669, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5745772422932669 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5745772422932669, bagging_freq=6, boosting_type=dart, learning_rate=0.009565808020574973, max_bin=77, min_data_in_leaf=11, n_estimators=206, score=-4876.899, total= 1.6s [CV] bagging_fraction=0.5745772422932669, bagging_freq=6, boosting_type=dart, learning_rate=0.009565808020574973, max_bin=77, min_data_in_leaf=11, n_estimators=206 [LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11 [LightGBM] [Warning] bagging_fraction is set=0.5745772422932669, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5745772422932669 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5745772422932669, bagging_freq=6, boosting_type=dart, learning_rate=0.009565808020574973, max_bin=77, min_data_in_leaf=11, n_estimators=206, score=-5055.037, total= 2.3s [CV] bagging_fraction=0.5745772422932669, bagging_freq=6, boosting_type=dart, learning_rate=0.009565808020574973, max_bin=77, min_data_in_leaf=11, n_estimators=206 [LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11 [LightGBM] [Warning] bagging_fraction is set=0.5745772422932669, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5745772422932669 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5745772422932669, bagging_freq=6, boosting_type=dart, learning_rate=0.009565808020574973, max_bin=77, min_data_in_leaf=11, n_estimators=206, score=-5074.910, total= 1.9s [CV] bagging_fraction=0.5745772422932669, bagging_freq=6, boosting_type=dart, learning_rate=0.009565808020574973, max_bin=77, min_data_in_leaf=11, n_estimators=206 [LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11 [LightGBM] [Warning] bagging_fraction is set=0.5745772422932669, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5745772422932669 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5745772422932669, bagging_freq=6, boosting_type=dart, learning_rate=0.009565808020574973, max_bin=77, min_data_in_leaf=11, n_estimators=206, score=-4819.780, total= 0.9s [CV] bagging_fraction=0.5394541193908347, bagging_freq=5, boosting_type=dart, learning_rate=0.010722323989375416, max_bin=42, min_data_in_leaf=38, n_estimators=265 [LightGBM] [Warning] min_data_in_leaf is set=38, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=38 [LightGBM] [Warning] bagging_fraction is set=0.5394541193908347, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5394541193908347 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5394541193908347, bagging_freq=5, boosting_type=dart, learning_rate=0.010722323989375416, max_bin=42, min_data_in_leaf=38, n_estimators=265, score=-4747.245, total= 1.0s [CV] bagging_fraction=0.5394541193908347, bagging_freq=5, boosting_type=dart, learning_rate=0.010722323989375416, max_bin=42, min_data_in_leaf=38, n_estimators=265 [LightGBM] [Warning] min_data_in_leaf is set=38, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=38 [LightGBM] [Warning] bagging_fraction is set=0.5394541193908347, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5394541193908347 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5394541193908347, bagging_freq=5, boosting_type=dart, learning_rate=0.010722323989375416, max_bin=42, min_data_in_leaf=38, n_estimators=265, score=-4893.667, total= 1.0s [CV] bagging_fraction=0.5394541193908347, bagging_freq=5, boosting_type=dart, learning_rate=0.010722323989375416, max_bin=42, min_data_in_leaf=38, n_estimators=265 [LightGBM] [Warning] min_data_in_leaf is set=38, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=38 [LightGBM] [Warning] bagging_fraction is set=0.5394541193908347, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5394541193908347 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5394541193908347, bagging_freq=5, boosting_type=dart, learning_rate=0.010722323989375416, max_bin=42, min_data_in_leaf=38, n_estimators=265, score=-4942.862, total= 1.3s [CV] bagging_fraction=0.5394541193908347, bagging_freq=5, boosting_type=dart, learning_rate=0.010722323989375416, max_bin=42, min_data_in_leaf=38, n_estimators=265 [LightGBM] [Warning] min_data_in_leaf is set=38, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=38 [LightGBM] [Warning] bagging_fraction is set=0.5394541193908347, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5394541193908347 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5394541193908347, bagging_freq=5, boosting_type=dart, learning_rate=0.010722323989375416, max_bin=42, min_data_in_leaf=38, n_estimators=265, score=-4656.902, total= 1.2s [CV] bagging_fraction=0.6728202776170571, bagging_freq=8, boosting_type=dart, learning_rate=0.04916784946800679, max_bin=190, min_data_in_leaf=37, n_estimators=291 [LightGBM] [Warning] min_data_in_leaf is set=37, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=37 [LightGBM] [Warning] bagging_fraction is set=0.6728202776170571, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6728202776170571 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6728202776170571, bagging_freq=8, boosting_type=dart, learning_rate=0.04916784946800679, max_bin=190, min_data_in_leaf=37, n_estimators=291, score=-2079.601, total= 1.3s [CV] bagging_fraction=0.6728202776170571, bagging_freq=8, boosting_type=dart, learning_rate=0.04916784946800679, max_bin=190, min_data_in_leaf=37, n_estimators=291 [LightGBM] [Warning] min_data_in_leaf is set=37, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=37 [LightGBM] [Warning] bagging_fraction is set=0.6728202776170571, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6728202776170571 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6728202776170571, bagging_freq=8, boosting_type=dart, learning_rate=0.04916784946800679, max_bin=190, min_data_in_leaf=37, n_estimators=291, score=-2190.921, total= 0.9s [CV] bagging_fraction=0.6728202776170571, bagging_freq=8, boosting_type=dart, learning_rate=0.04916784946800679, max_bin=190, min_data_in_leaf=37, n_estimators=291 [LightGBM] [Warning] min_data_in_leaf is set=37, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=37 [LightGBM] [Warning] bagging_fraction is set=0.6728202776170571, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6728202776170571 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6728202776170571, bagging_freq=8, boosting_type=dart, learning_rate=0.04916784946800679, max_bin=190, min_data_in_leaf=37, n_estimators=291, score=-2136.982, total= 0.9s [CV] bagging_fraction=0.6728202776170571, bagging_freq=8, boosting_type=dart, learning_rate=0.04916784946800679, max_bin=190, min_data_in_leaf=37, n_estimators=291 [LightGBM] [Warning] min_data_in_leaf is set=37, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=37 [LightGBM] [Warning] bagging_fraction is set=0.6728202776170571, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6728202776170571 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6728202776170571, bagging_freq=8, boosting_type=dart, learning_rate=0.04916784946800679, max_bin=190, min_data_in_leaf=37, n_estimators=291, score=-1910.978, total= 0.8s [CV] bagging_fraction=0.5124050508727059, bagging_freq=8, boosting_type=dart, learning_rate=0.07805254034244383, max_bin=86, min_data_in_leaf=21, n_estimators=344 [LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21 [LightGBM] [Warning] bagging_fraction is set=0.5124050508727059, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5124050508727059 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5124050508727059, bagging_freq=8, boosting_type=dart, learning_rate=0.07805254034244383, max_bin=86, min_data_in_leaf=21, n_estimators=344, score=-1736.751, total= 0.9s [CV] bagging_fraction=0.5124050508727059, bagging_freq=8, boosting_type=dart, learning_rate=0.07805254034244383, max_bin=86, min_data_in_leaf=21, n_estimators=344 [LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21 [LightGBM] [Warning] bagging_fraction is set=0.5124050508727059, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5124050508727059 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5124050508727059, bagging_freq=8, boosting_type=dart, learning_rate=0.07805254034244383, max_bin=86, min_data_in_leaf=21, n_estimators=344, score=-1811.759, total= 0.8s [CV] bagging_fraction=0.5124050508727059, bagging_freq=8, boosting_type=dart, learning_rate=0.07805254034244383, max_bin=86, min_data_in_leaf=21, n_estimators=344 [LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21 [LightGBM] [Warning] bagging_fraction is set=0.5124050508727059, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5124050508727059 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5124050508727059, bagging_freq=8, boosting_type=dart, learning_rate=0.07805254034244383, max_bin=86, min_data_in_leaf=21, n_estimators=344, score=-1711.182, total= 0.9s [CV] bagging_fraction=0.5124050508727059, bagging_freq=8, boosting_type=dart, learning_rate=0.07805254034244383, max_bin=86, min_data_in_leaf=21, n_estimators=344 [LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21 [LightGBM] [Warning] bagging_fraction is set=0.5124050508727059, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5124050508727059 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5124050508727059, bagging_freq=8, boosting_type=dart, learning_rate=0.07805254034244383, max_bin=86, min_data_in_leaf=21, n_estimators=344, score=-1517.383, total= 0.9s [CV] bagging_fraction=0.5502183116998349, bagging_freq=7, boosting_type=dart, learning_rate=0.07328064665551949, max_bin=180, min_data_in_leaf=40, n_estimators=297 [LightGBM] [Warning] min_data_in_leaf is set=40, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=40 [LightGBM] [Warning] bagging_fraction is set=0.5502183116998349, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5502183116998349 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5502183116998349, bagging_freq=7, boosting_type=dart, learning_rate=0.07328064665551949, max_bin=180, min_data_in_leaf=40, n_estimators=297, score=-1854.019, total= 0.7s [CV] bagging_fraction=0.5502183116998349, bagging_freq=7, boosting_type=dart, learning_rate=0.07328064665551949, max_bin=180, min_data_in_leaf=40, n_estimators=297 [LightGBM] [Warning] min_data_in_leaf is set=40, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=40 [LightGBM] [Warning] bagging_fraction is set=0.5502183116998349, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5502183116998349 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5502183116998349, bagging_freq=7, boosting_type=dart, learning_rate=0.07328064665551949, max_bin=180, min_data_in_leaf=40, n_estimators=297, score=-1989.154, total= 0.6s [CV] bagging_fraction=0.5502183116998349, bagging_freq=7, boosting_type=dart, learning_rate=0.07328064665551949, max_bin=180, min_data_in_leaf=40, n_estimators=297 [LightGBM] [Warning] min_data_in_leaf is set=40, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=40 [LightGBM] [Warning] bagging_fraction is set=0.5502183116998349, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5502183116998349 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5502183116998349, bagging_freq=7, boosting_type=dart, learning_rate=0.07328064665551949, max_bin=180, min_data_in_leaf=40, n_estimators=297, score=-1858.487, total= 0.7s [CV] bagging_fraction=0.5502183116998349, bagging_freq=7, boosting_type=dart, learning_rate=0.07328064665551949, max_bin=180, min_data_in_leaf=40, n_estimators=297 [LightGBM] [Warning] min_data_in_leaf is set=40, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=40 [LightGBM] [Warning] bagging_fraction is set=0.5502183116998349, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5502183116998349 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5502183116998349, bagging_freq=7, boosting_type=dart, learning_rate=0.07328064665551949, max_bin=180, min_data_in_leaf=40, n_estimators=297, score=-1641.672, total= 0.7s [CV] bagging_fraction=0.5605563331132271, bagging_freq=4, boosting_type=dart, learning_rate=0.005821247081529247, max_bin=107, min_data_in_leaf=13, n_estimators=223 [LightGBM] [Warning] min_data_in_leaf is set=13, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=13 [LightGBM] [Warning] bagging_fraction is set=0.5605563331132271, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5605563331132271 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5605563331132271, bagging_freq=4, boosting_type=dart, learning_rate=0.005821247081529247, max_bin=107, min_data_in_leaf=13, n_estimators=223, score=-5662.535, total= 0.8s [CV] bagging_fraction=0.5605563331132271, bagging_freq=4, boosting_type=dart, learning_rate=0.005821247081529247, max_bin=107, min_data_in_leaf=13, n_estimators=223 [LightGBM] [Warning] min_data_in_leaf is set=13, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=13 [LightGBM] [Warning] bagging_fraction is set=0.5605563331132271, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5605563331132271 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5605563331132271, bagging_freq=4, boosting_type=dart, learning_rate=0.005821247081529247, max_bin=107, min_data_in_leaf=13, n_estimators=223, score=-5852.206, total= 0.9s [CV] bagging_fraction=0.5605563331132271, bagging_freq=4, boosting_type=dart, learning_rate=0.005821247081529247, max_bin=107, min_data_in_leaf=13, n_estimators=223 [LightGBM] [Warning] min_data_in_leaf is set=13, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=13 [LightGBM] [Warning] bagging_fraction is set=0.5605563331132271, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5605563331132271 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5605563331132271, bagging_freq=4, boosting_type=dart, learning_rate=0.005821247081529247, max_bin=107, min_data_in_leaf=13, n_estimators=223, score=-5866.914, total= 0.9s [CV] bagging_fraction=0.5605563331132271, bagging_freq=4, boosting_type=dart, learning_rate=0.005821247081529247, max_bin=107, min_data_in_leaf=13, n_estimators=223 [LightGBM] [Warning] min_data_in_leaf is set=13, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=13 [LightGBM] [Warning] bagging_fraction is set=0.5605563331132271, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5605563331132271 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5605563331132271, bagging_freq=4, boosting_type=dart, learning_rate=0.005821247081529247, max_bin=107, min_data_in_leaf=13, n_estimators=223, score=-5591.635, total= 0.9s [CV] bagging_fraction=0.6423079411266414, bagging_freq=8, boosting_type=dart, learning_rate=0.08136764000626326, max_bin=164, min_data_in_leaf=30, n_estimators=210 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.6423079411266414, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6423079411266414 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6423079411266414, bagging_freq=8, boosting_type=dart, learning_rate=0.08136764000626326, max_bin=164, min_data_in_leaf=30, n_estimators=210, score=-1733.177, total= 0.8s [CV] bagging_fraction=0.6423079411266414, bagging_freq=8, boosting_type=dart, learning_rate=0.08136764000626326, max_bin=164, min_data_in_leaf=30, n_estimators=210 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.6423079411266414, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6423079411266414 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6423079411266414, bagging_freq=8, boosting_type=dart, learning_rate=0.08136764000626326, max_bin=164, min_data_in_leaf=30, n_estimators=210, score=-1832.168, total= 0.8s [CV] bagging_fraction=0.6423079411266414, bagging_freq=8, boosting_type=dart, learning_rate=0.08136764000626326, max_bin=164, min_data_in_leaf=30, n_estimators=210 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.6423079411266414, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6423079411266414 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6423079411266414, bagging_freq=8, boosting_type=dart, learning_rate=0.08136764000626326, max_bin=164, min_data_in_leaf=30, n_estimators=210, score=-1699.704, total= 0.9s [CV] bagging_fraction=0.6423079411266414, bagging_freq=8, boosting_type=dart, learning_rate=0.08136764000626326, max_bin=164, min_data_in_leaf=30, n_estimators=210 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.6423079411266414, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6423079411266414 [LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6423079411266414, bagging_freq=8, boosting_type=dart, learning_rate=0.08136764000626326, max_bin=164, min_data_in_leaf=30, n_estimators=210, score=-1516.642, total= 0.9s [CV] bagging_fraction=0.2703751147615228, bagging_freq=4, boosting_type=dart, learning_rate=0.05646075015987888, max_bin=99, min_data_in_leaf=30, n_estimators=314 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.2703751147615228, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2703751147615228 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2703751147615228, bagging_freq=4, boosting_type=dart, learning_rate=0.05646075015987888, max_bin=99, min_data_in_leaf=30, n_estimators=314, score=-2075.731, total= 0.5s [CV] bagging_fraction=0.2703751147615228, bagging_freq=4, boosting_type=dart, learning_rate=0.05646075015987888, max_bin=99, min_data_in_leaf=30, n_estimators=314 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.2703751147615228, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2703751147615228 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2703751147615228, bagging_freq=4, boosting_type=dart, learning_rate=0.05646075015987888, max_bin=99, min_data_in_leaf=30, n_estimators=314, score=-2238.358, total= 0.5s [CV] bagging_fraction=0.2703751147615228, bagging_freq=4, boosting_type=dart, learning_rate=0.05646075015987888, max_bin=99, min_data_in_leaf=30, n_estimators=314 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.2703751147615228, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2703751147615228 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2703751147615228, bagging_freq=4, boosting_type=dart, learning_rate=0.05646075015987888, max_bin=99, min_data_in_leaf=30, n_estimators=314, score=-2151.712, total= 0.5s [CV] bagging_fraction=0.2703751147615228, bagging_freq=4, boosting_type=dart, learning_rate=0.05646075015987888, max_bin=99, min_data_in_leaf=30, n_estimators=314 [LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30 [LightGBM] [Warning] bagging_fraction is set=0.2703751147615228, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2703751147615228 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.2703751147615228, bagging_freq=4, boosting_type=dart, learning_rate=0.05646075015987888, max_bin=99, min_data_in_leaf=30, n_estimators=314, score=-1891.220, total= 0.5s [CV] bagging_fraction=0.39032183060889597, bagging_freq=7, boosting_type=dart, learning_rate=0.008231582898978972, max_bin=104, min_data_in_leaf=28, n_estimators=288 [LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28 [LightGBM] [Warning] bagging_fraction is set=0.39032183060889597, subsample=1.0 will be ignored. Current value: bagging_fraction=0.39032183060889597 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.39032183060889597, bagging_freq=7, boosting_type=dart, learning_rate=0.008231582898978972, max_bin=104, min_data_in_leaf=28, n_estimators=288, score=-5197.801, total= 0.7s [CV] bagging_fraction=0.39032183060889597, bagging_freq=7, boosting_type=dart, learning_rate=0.008231582898978972, max_bin=104, min_data_in_leaf=28, n_estimators=288 [LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28 [LightGBM] [Warning] bagging_fraction is set=0.39032183060889597, subsample=1.0 will be ignored. Current value: bagging_fraction=0.39032183060889597 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.39032183060889597, bagging_freq=7, boosting_type=dart, learning_rate=0.008231582898978972, max_bin=104, min_data_in_leaf=28, n_estimators=288, score=-5367.000, total= 0.6s [CV] bagging_fraction=0.39032183060889597, bagging_freq=7, boosting_type=dart, learning_rate=0.008231582898978972, max_bin=104, min_data_in_leaf=28, n_estimators=288 [LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28 [LightGBM] [Warning] bagging_fraction is set=0.39032183060889597, subsample=1.0 will be ignored. Current value: bagging_fraction=0.39032183060889597 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.39032183060889597, bagging_freq=7, boosting_type=dart, learning_rate=0.008231582898978972, max_bin=104, min_data_in_leaf=28, n_estimators=288, score=-5401.755, total= 0.6s [CV] bagging_fraction=0.39032183060889597, bagging_freq=7, boosting_type=dart, learning_rate=0.008231582898978972, max_bin=104, min_data_in_leaf=28, n_estimators=288 [LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28 [LightGBM] [Warning] bagging_fraction is set=0.39032183060889597, subsample=1.0 will be ignored. Current value: bagging_fraction=0.39032183060889597 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.39032183060889597, bagging_freq=7, boosting_type=dart, learning_rate=0.008231582898978972, max_bin=104, min_data_in_leaf=28, n_estimators=288, score=-5105.671, total= 0.6s [CV] bagging_fraction=0.4945425898987232, bagging_freq=9, boosting_type=dart, learning_rate=0.04586708383905474, max_bin=126, min_data_in_leaf=32, n_estimators=319 [LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32 [LightGBM] [Warning] bagging_fraction is set=0.4945425898987232, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4945425898987232 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4945425898987232, bagging_freq=9, boosting_type=dart, learning_rate=0.04586708383905474, max_bin=126, min_data_in_leaf=32, n_estimators=319, score=-2170.603, total= 0.7s [CV] bagging_fraction=0.4945425898987232, bagging_freq=9, boosting_type=dart, learning_rate=0.04586708383905474, max_bin=126, min_data_in_leaf=32, n_estimators=319 [LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32 [LightGBM] [Warning] bagging_fraction is set=0.4945425898987232, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4945425898987232 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4945425898987232, bagging_freq=9, boosting_type=dart, learning_rate=0.04586708383905474, max_bin=126, min_data_in_leaf=32, n_estimators=319, score=-2316.456, total= 0.6s [CV] bagging_fraction=0.4945425898987232, bagging_freq=9, boosting_type=dart, learning_rate=0.04586708383905474, max_bin=126, min_data_in_leaf=32, n_estimators=319 [LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32 [LightGBM] [Warning] bagging_fraction is set=0.4945425898987232, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4945425898987232 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4945425898987232, bagging_freq=9, boosting_type=dart, learning_rate=0.04586708383905474, max_bin=126, min_data_in_leaf=32, n_estimators=319, score=-2258.729, total= 0.7s [CV] bagging_fraction=0.4945425898987232, bagging_freq=9, boosting_type=dart, learning_rate=0.04586708383905474, max_bin=126, min_data_in_leaf=32, n_estimators=319 [LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32 [LightGBM] [Warning] bagging_fraction is set=0.4945425898987232, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4945425898987232 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.4945425898987232, bagging_freq=9, boosting_type=dart, learning_rate=0.04586708383905474, max_bin=126, min_data_in_leaf=32, n_estimators=319, score=-2002.750, total= 0.7s [CV] bagging_fraction=0.6262014551801904, bagging_freq=9, boosting_type=dart, learning_rate=0.07162515905637651, max_bin=185, min_data_in_leaf=23, n_estimators=299 [LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23 [LightGBM] [Warning] bagging_fraction is set=0.6262014551801904, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6262014551801904 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6262014551801904, bagging_freq=9, boosting_type=dart, learning_rate=0.07162515905637651, max_bin=185, min_data_in_leaf=23, n_estimators=299, score=-1764.552, total= 0.8s [CV] bagging_fraction=0.6262014551801904, bagging_freq=9, boosting_type=dart, learning_rate=0.07162515905637651, max_bin=185, min_data_in_leaf=23, n_estimators=299 [LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23 [LightGBM] [Warning] bagging_fraction is set=0.6262014551801904, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6262014551801904 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6262014551801904, bagging_freq=9, boosting_type=dart, learning_rate=0.07162515905637651, max_bin=185, min_data_in_leaf=23, n_estimators=299, score=-1852.231, total= 0.9s [CV] bagging_fraction=0.6262014551801904, bagging_freq=9, boosting_type=dart, learning_rate=0.07162515905637651, max_bin=185, min_data_in_leaf=23, n_estimators=299 [LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23 [LightGBM] [Warning] bagging_fraction is set=0.6262014551801904, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6262014551801904 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6262014551801904, bagging_freq=9, boosting_type=dart, learning_rate=0.07162515905637651, max_bin=185, min_data_in_leaf=23, n_estimators=299, score=-1728.413, total= 0.8s [CV] bagging_fraction=0.6262014551801904, bagging_freq=9, boosting_type=dart, learning_rate=0.07162515905637651, max_bin=185, min_data_in_leaf=23, n_estimators=299 [LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23 [LightGBM] [Warning] bagging_fraction is set=0.6262014551801904, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6262014551801904 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6262014551801904, bagging_freq=9, boosting_type=dart, learning_rate=0.07162515905637651, max_bin=185, min_data_in_leaf=23, n_estimators=299, score=-1547.060, total= 0.8s [CV] bagging_fraction=0.21427413284364888, bagging_freq=4, boosting_type=dart, learning_rate=0.07910514633146729, max_bin=41, min_data_in_leaf=39, n_estimators=328 [LightGBM] [Warning] min_data_in_leaf is set=39, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=39 [LightGBM] [Warning] bagging_fraction is set=0.21427413284364888, subsample=1.0 will be ignored. Current value: bagging_fraction=0.21427413284364888 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.21427413284364888, bagging_freq=4, boosting_type=dart, learning_rate=0.07910514633146729, max_bin=41, min_data_in_leaf=39, n_estimators=328, score=-2012.762, total= 0.4s [CV] bagging_fraction=0.21427413284364888, bagging_freq=4, boosting_type=dart, learning_rate=0.07910514633146729, max_bin=41, min_data_in_leaf=39, n_estimators=328 [LightGBM] [Warning] min_data_in_leaf is set=39, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=39 [LightGBM] [Warning] bagging_fraction is set=0.21427413284364888, subsample=1.0 will be ignored. Current value: bagging_fraction=0.21427413284364888 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.21427413284364888, bagging_freq=4, boosting_type=dart, learning_rate=0.07910514633146729, max_bin=41, min_data_in_leaf=39, n_estimators=328, score=-2138.991, total= 0.4s [CV] bagging_fraction=0.21427413284364888, bagging_freq=4, boosting_type=dart, learning_rate=0.07910514633146729, max_bin=41, min_data_in_leaf=39, n_estimators=328 [LightGBM] [Warning] min_data_in_leaf is set=39, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=39 [LightGBM] [Warning] bagging_fraction is set=0.21427413284364888, subsample=1.0 will be ignored. Current value: bagging_fraction=0.21427413284364888 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.21427413284364888, bagging_freq=4, boosting_type=dart, learning_rate=0.07910514633146729, max_bin=41, min_data_in_leaf=39, n_estimators=328, score=-2046.295, total= 0.4s [CV] bagging_fraction=0.21427413284364888, bagging_freq=4, boosting_type=dart, learning_rate=0.07910514633146729, max_bin=41, min_data_in_leaf=39, n_estimators=328 [LightGBM] [Warning] min_data_in_leaf is set=39, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=39 [LightGBM] [Warning] bagging_fraction is set=0.21427413284364888, subsample=1.0 will be ignored. Current value: bagging_fraction=0.21427413284364888 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.21427413284364888, bagging_freq=4, boosting_type=dart, learning_rate=0.07910514633146729, max_bin=41, min_data_in_leaf=39, n_estimators=328, score=-1775.073, total= 0.4s [CV] bagging_fraction=0.25075468620943214, bagging_freq=4, boosting_type=gbdt, learning_rate=0.05327229023430851, max_bin=153, min_data_in_leaf=19, n_estimators=220 [LightGBM] [Warning] min_data_in_leaf is set=19, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=19 [LightGBM] [Warning] bagging_fraction is set=0.25075468620943214, subsample=1.0 will be ignored. Current value: bagging_fraction=0.25075468620943214 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.25075468620943214, bagging_freq=4, boosting_type=gbdt, learning_rate=0.05327229023430851, max_bin=153, min_data_in_leaf=19, n_estimators=220, score=-1735.811, total= 0.4s [CV] bagging_fraction=0.25075468620943214, bagging_freq=4, boosting_type=gbdt, learning_rate=0.05327229023430851, max_bin=153, min_data_in_leaf=19, n_estimators=220 [LightGBM] [Warning] min_data_in_leaf is set=19, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=19 [LightGBM] [Warning] bagging_fraction is set=0.25075468620943214, subsample=1.0 will be ignored. Current value: bagging_fraction=0.25075468620943214 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.25075468620943214, bagging_freq=4, boosting_type=gbdt, learning_rate=0.05327229023430851, max_bin=153, min_data_in_leaf=19, n_estimators=220, score=-1763.374, total= 0.3s [CV] bagging_fraction=0.25075468620943214, bagging_freq=4, boosting_type=gbdt, learning_rate=0.05327229023430851, max_bin=153, min_data_in_leaf=19, n_estimators=220 [LightGBM] [Warning] min_data_in_leaf is set=19, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=19 [LightGBM] [Warning] bagging_fraction is set=0.25075468620943214, subsample=1.0 will be ignored. Current value: bagging_fraction=0.25075468620943214 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.25075468620943214, bagging_freq=4, boosting_type=gbdt, learning_rate=0.05327229023430851, max_bin=153, min_data_in_leaf=19, n_estimators=220, score=-1576.422, total= 0.4s [CV] bagging_fraction=0.25075468620943214, bagging_freq=4, boosting_type=gbdt, learning_rate=0.05327229023430851, max_bin=153, min_data_in_leaf=19, n_estimators=220 [LightGBM] [Warning] min_data_in_leaf is set=19, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=19 [LightGBM] [Warning] bagging_fraction is set=0.25075468620943214, subsample=1.0 will be ignored. Current value: bagging_fraction=0.25075468620943214 [LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.25075468620943214, bagging_freq=4, boosting_type=gbdt, learning_rate=0.05327229023430851, max_bin=153, min_data_in_leaf=19, n_estimators=220, score=-1452.885, total= 0.3s [CV] bagging_fraction=0.3184160731849106, bagging_freq=9, boosting_type=dart, learning_rate=0.057709934005765365, max_bin=192, min_data_in_leaf=24, n_estimators=323 [LightGBM] [Warning] min_data_in_leaf is set=24, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=24 [LightGBM] [Warning] bagging_fraction is set=0.3184160731849106, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3184160731849106 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3184160731849106, bagging_freq=9, boosting_type=dart, learning_rate=0.057709934005765365, max_bin=192, min_data_in_leaf=24, n_estimators=323, score=-1986.042, total= 0.6s [CV] bagging_fraction=0.3184160731849106, bagging_freq=9, boosting_type=dart, learning_rate=0.057709934005765365, max_bin=192, min_data_in_leaf=24, n_estimators=323 [LightGBM] [Warning] min_data_in_leaf is set=24, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=24 [LightGBM] [Warning] bagging_fraction is set=0.3184160731849106, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3184160731849106 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3184160731849106, bagging_freq=9, boosting_type=dart, learning_rate=0.057709934005765365, max_bin=192, min_data_in_leaf=24, n_estimators=323, score=-2106.089, total= 0.7s [CV] bagging_fraction=0.3184160731849106, bagging_freq=9, boosting_type=dart, learning_rate=0.057709934005765365, max_bin=192, min_data_in_leaf=24, n_estimators=323 [LightGBM] [Warning] min_data_in_leaf is set=24, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=24 [LightGBM] [Warning] bagging_fraction is set=0.3184160731849106, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3184160731849106 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3184160731849106, bagging_freq=9, boosting_type=dart, learning_rate=0.057709934005765365, max_bin=192, min_data_in_leaf=24, n_estimators=323, score=-2050.577, total= 0.7s [CV] bagging_fraction=0.3184160731849106, bagging_freq=9, boosting_type=dart, learning_rate=0.057709934005765365, max_bin=192, min_data_in_leaf=24, n_estimators=323 [LightGBM] [Warning] min_data_in_leaf is set=24, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=24 [LightGBM] [Warning] bagging_fraction is set=0.3184160731849106, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3184160731849106 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3184160731849106, bagging_freq=9, boosting_type=dart, learning_rate=0.057709934005765365, max_bin=192, min_data_in_leaf=24, n_estimators=323, score=-1827.957, total= 0.6s [CV] bagging_fraction=0.3416687098001651, bagging_freq=9, boosting_type=dart, learning_rate=0.028030551206295686, max_bin=131, min_data_in_leaf=11, n_estimators=315 [LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11 [LightGBM] [Warning] bagging_fraction is set=0.3416687098001651, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3416687098001651 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3416687098001651, bagging_freq=9, boosting_type=dart, learning_rate=0.028030551206295686, max_bin=131, min_data_in_leaf=11, n_estimators=315, score=-2799.142, total= 0.9s [CV] bagging_fraction=0.3416687098001651, bagging_freq=9, boosting_type=dart, learning_rate=0.028030551206295686, max_bin=131, min_data_in_leaf=11, n_estimators=315 [LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11 [LightGBM] [Warning] bagging_fraction is set=0.3416687098001651, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3416687098001651 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3416687098001651, bagging_freq=9, boosting_type=dart, learning_rate=0.028030551206295686, max_bin=131, min_data_in_leaf=11, n_estimators=315, score=-2967.073, total= 0.9s [CV] bagging_fraction=0.3416687098001651, bagging_freq=9, boosting_type=dart, learning_rate=0.028030551206295686, max_bin=131, min_data_in_leaf=11, n_estimators=315 [LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11 [LightGBM] [Warning] bagging_fraction is set=0.3416687098001651, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3416687098001651 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3416687098001651, bagging_freq=9, boosting_type=dart, learning_rate=0.028030551206295686, max_bin=131, min_data_in_leaf=11, n_estimators=315, score=-2957.612, total= 1.0s [CV] bagging_fraction=0.3416687098001651, bagging_freq=9, boosting_type=dart, learning_rate=0.028030551206295686, max_bin=131, min_data_in_leaf=11, n_estimators=315 [LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11 [LightGBM] [Warning] bagging_fraction is set=0.3416687098001651, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3416687098001651 [LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.3416687098001651, bagging_freq=9, boosting_type=dart, learning_rate=0.028030551206295686, max_bin=131, min_data_in_leaf=11, n_estimators=315, score=-2719.619, total= 0.9s [CV] bagging_fraction=0.6492219117702325, bagging_freq=7, boosting_type=dart, learning_rate=0.020478867465719787, max_bin=125, min_data_in_leaf=49, n_estimators=207 [LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49 [LightGBM] [Warning] bagging_fraction is set=0.6492219117702325, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6492219117702325 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6492219117702325, bagging_freq=7, boosting_type=dart, learning_rate=0.020478867465719787, max_bin=125, min_data_in_leaf=49, n_estimators=207, score=-3477.893, total= 0.6s [CV] bagging_fraction=0.6492219117702325, bagging_freq=7, boosting_type=dart, learning_rate=0.020478867465719787, max_bin=125, min_data_in_leaf=49, n_estimators=207 [LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49 [LightGBM] [Warning] bagging_fraction is set=0.6492219117702325, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6492219117702325 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6492219117702325, bagging_freq=7, boosting_type=dart, learning_rate=0.020478867465719787, max_bin=125, min_data_in_leaf=49, n_estimators=207, score=-3625.081, total= 0.6s [CV] bagging_fraction=0.6492219117702325, bagging_freq=7, boosting_type=dart, learning_rate=0.020478867465719787, max_bin=125, min_data_in_leaf=49, n_estimators=207 [LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49 [LightGBM] [Warning] bagging_fraction is set=0.6492219117702325, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6492219117702325 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6492219117702325, bagging_freq=7, boosting_type=dart, learning_rate=0.020478867465719787, max_bin=125, min_data_in_leaf=49, n_estimators=207, score=-3679.022, total= 0.6s [CV] bagging_fraction=0.6492219117702325, bagging_freq=7, boosting_type=dart, learning_rate=0.020478867465719787, max_bin=125, min_data_in_leaf=49, n_estimators=207 [LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49 [LightGBM] [Warning] bagging_fraction is set=0.6492219117702325, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6492219117702325 [LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.6492219117702325, bagging_freq=7, boosting_type=dart, learning_rate=0.020478867465719787, max_bin=125, min_data_in_leaf=49, n_estimators=207, score=-3405.863, total= 0.6s [CV] bagging_fraction=0.5754925616660449, bagging_freq=5, boosting_type=dart, learning_rate=0.07750527791955238, max_bin=69, min_data_in_leaf=40, n_estimators=189 [LightGBM] [Warning] min_data_in_leaf is set=40, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=40 [LightGBM] [Warning] bagging_fraction is set=0.5754925616660449, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5754925616660449 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5754925616660449, bagging_freq=5, boosting_type=dart, learning_rate=0.07750527791955238, max_bin=69, min_data_in_leaf=40, n_estimators=189, score=-1822.565, total= 0.6s [CV] bagging_fraction=0.5754925616660449, bagging_freq=5, boosting_type=dart, learning_rate=0.07750527791955238, max_bin=69, min_data_in_leaf=40, n_estimators=189 [LightGBM] [Warning] min_data_in_leaf is set=40, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=40 [LightGBM] [Warning] bagging_fraction is set=0.5754925616660449, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5754925616660449 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5754925616660449, bagging_freq=5, boosting_type=dart, learning_rate=0.07750527791955238, max_bin=69, min_data_in_leaf=40, n_estimators=189, score=-1932.893, total= 0.6s [CV] bagging_fraction=0.5754925616660449, bagging_freq=5, boosting_type=dart, learning_rate=0.07750527791955238, max_bin=69, min_data_in_leaf=40, n_estimators=189 [LightGBM] [Warning] min_data_in_leaf is set=40, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=40 [LightGBM] [Warning] bagging_fraction is set=0.5754925616660449, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5754925616660449 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5754925616660449, bagging_freq=5, boosting_type=dart, learning_rate=0.07750527791955238, max_bin=69, min_data_in_leaf=40, n_estimators=189, score=-1793.553, total= 0.8s [CV] bagging_fraction=0.5754925616660449, bagging_freq=5, boosting_type=dart, learning_rate=0.07750527791955238, max_bin=69, min_data_in_leaf=40, n_estimators=189 [LightGBM] [Warning] min_data_in_leaf is set=40, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=40 [LightGBM] [Warning] bagging_fraction is set=0.5754925616660449, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5754925616660449 [LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
[CV] bagging_fraction=0.5754925616660449, bagging_freq=5, boosting_type=dart, learning_rate=0.07750527791955238, max_bin=69, min_data_in_leaf=40, n_estimators=189, score=-1600.958, total= 1.1s [Parallel(n_jobs=1)]: Done 200 out of 200 | elapsed: 2.7min finished [LightGBM] [Warning] min_data_in_leaf is set=13, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=13 [LightGBM] [Warning] bagging_fraction is set=0.5907183383176714, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5907183383176714 [LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6 [LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning: Found `n_iter` in params. Will use it instead of argument
Out[83]:
RandomizedSearchCV(cv=4, estimator=LGBMRegressor(n_iter=200), n_iter=50,
param_distributions={'bagging_fraction': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE8CA280>,
'bagging_freq': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE8C2700>,
'boosting_type': ['dart', 'gbdt'],
'learning_rate': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE9CF7F0>,
'max_bin': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE8CA970>,
'min_data_in_leaf': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE9CFF70>,
'n_estimators': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE9CF1C0>},
scoring='neg_root_mean_squared_error', verbose=50)
In [84]:
# Wyświetlenie rezultatów dla poszczególnych prób hyperparametrów
pd.DataFrame(random_search_without_outliers.cv_results_).sort_values("rank_test_score")
Out[84]:
| mean_fit_time | std_fit_time | mean_score_time | std_score_time | param_bagging_fraction | param_bagging_freq | param_boosting_type | param_learning_rate | param_max_bin | param_min_data_in_leaf | param_n_estimators | params | split0_test_score | split1_test_score | split2_test_score | split3_test_score | mean_test_score | std_test_score | rank_test_score | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 6 | 0.737 | 0.202 | 0.013 | 0.001 | 0.591 | 6 | gbdt | 0.041 | 137 | 13 | 301 | {'bagging_fraction': 0.5907183383176714, 'bagging_freq': 6, 'boosting_type': 'gbdt', 'learning_rate': 0.04121088764118007, 'max_bin': 137, 'min_data_in_leaf': 13, 'n_estimators': 301} | -1561.246 | -1623.687 | -1397.236 | -1316.095 | -1474.566 | 123.332 | 1 |
| 0 | 0.619 | 0.090 | 0.015 | 0.002 | 0.700 | 7 | gbdt | 0.075 | 93 | 18 | 169 | {'bagging_fraction': 0.6998785875233111, 'bagging_freq': 7, 'boosting_type': 'gbdt', 'learning_rate': 0.07485064519324487, 'max_bin': 93, 'min_data_in_leaf': 18, 'n_estimators': 169} | -1583.499 | -1614.934 | -1381.541 | -1333.093 | -1478.267 | 122.661 | 2 |
| 26 | 0.904 | 0.102 | 0.015 | 0.001 | 0.479 | 4 | gbdt | 0.096 | 117 | 23 | 307 | {'bagging_fraction': 0.47897405278202526, 'bagging_freq': 4, 'boosting_type': 'gbdt', 'learning_rate': 0.09599176990897997, 'max_bin': 117, 'min_data_in_leaf': 23, 'n_estimators': 307} | -1558.276 | -1578.848 | -1480.354 | -1378.688 | -1499.041 | 78.600 | 3 |
| 22 | 0.782 | 0.135 | 0.019 | 0.005 | 0.676 | 9 | gbdt | 0.080 | 160 | 35 | 295 | {'bagging_fraction': 0.6759963941523366, 'bagging_freq': 9, 'boosting_type': 'gbdt', 'learning_rate': 0.08033682536423688, 'max_bin': 160, 'min_data_in_leaf': 35, 'n_estimators': 295} | -1668.082 | -1649.714 | -1422.694 | -1338.215 | -1519.676 | 142.537 | 4 |
| 28 | 0.730 | 0.180 | 0.016 | 0.006 | 0.583 | 7 | gbdt | 0.025 | 147 | 18 | 210 | {'bagging_fraction': 0.583251983185906, 'bagging_freq': 7, 'boosting_type': 'gbdt', 'learning_rate': 0.02541778255499986, 'max_bin': 147, 'min_data_in_leaf': 18, 'n_estimators': 210} | -1638.245 | -1681.454 | -1495.958 | -1359.525 | -1543.795 | 126.604 | 5 |
| 17 | 0.814 | 0.191 | 0.017 | 0.003 | 0.445 | 8 | gbdt | 0.078 | 108 | 28 | 333 | {'bagging_fraction': 0.44470411661430215, 'bagging_freq': 8, 'boosting_type': 'gbdt', 'learning_rate': 0.07824077302218983, 'max_bin': 108, 'min_data_in_leaf': 28, 'n_estimators': 333} | -1632.974 | -1677.748 | -1512.158 | -1394.685 | -1554.391 | 110.320 | 6 |
| 32 | 0.549 | 0.084 | 0.014 | 0.002 | 0.672 | 4 | gbdt | 0.045 | 74 | 41 | 156 | {'bagging_fraction': 0.6716424395606857, 'bagging_freq': 4, 'boosting_type': 'gbdt', 'learning_rate': 0.04536291058106631, 'max_bin': 74, 'min_data_in_leaf': 41, 'n_estimators': 156} | -1671.327 | -1709.087 | -1496.344 | -1407.568 | -1571.082 | 123.912 | 7 |
| 20 | 0.631 | 0.177 | 0.014 | 0.002 | 0.283 | 9 | gbdt | 0.063 | 42 | 12 | 172 | {'bagging_fraction': 0.2833247761623149, 'bagging_freq': 9, 'boosting_type': 'gbdt', 'learning_rate': 0.06344793737344055, 'max_bin': 42, 'min_data_in_leaf': 12, 'n_estimators': 172} | -1731.040 | -1713.844 | -1528.491 | -1424.224 | -1599.400 | 128.590 | 8 |
| 3 | 0.568 | 0.318 | 0.014 | 0.003 | 0.397 | 4 | gbdt | 0.065 | 62 | 34 | 244 | {'bagging_fraction': 0.39676145576873106, 'bagging_freq': 4, 'boosting_type': 'gbdt', 'learning_rate': 0.06494680994286729, 'max_bin': 62, 'min_data_in_leaf': 34, 'n_estimators': 244} | -1694.937 | -1744.980 | -1574.772 | -1419.995 | -1608.671 | 125.269 | 9 |
| 10 | 0.477 | 0.055 | 0.013 | 0.001 | 0.509 | 8 | gbdt | 0.028 | 153 | 29 | 283 | {'bagging_fraction': 0.5093342353584855, 'bagging_freq': 8, 'boosting_type': 'gbdt', 'learning_rate': 0.027683152281982492, 'max_bin': 153, 'min_data_in_leaf': 29, 'n_estimators': 283} | -1723.977 | -1758.395 | -1587.592 | -1432.178 | -1625.535 | 128.617 | 10 |
| 45 | 0.356 | 0.024 | 0.012 | 0.002 | 0.251 | 4 | gbdt | 0.053 | 153 | 19 | 220 | {'bagging_fraction': 0.25075468620943214, 'bagging_freq': 4, 'boosting_type': 'gbdt', 'learning_rate': 0.05327229023430851, 'max_bin': 153, 'min_data_in_leaf': 19, 'n_estimators': 220} | -1735.811 | -1763.374 | -1576.422 | -1452.885 | -1632.123 | 125.705 | 11 |
| 12 | 0.465 | 0.222 | 0.017 | 0.006 | 0.287 | 6 | gbdt | 0.096 | 71 | 27 | 178 | {'bagging_fraction': 0.2868609276045833, 'bagging_freq': 6, 'boosting_type': 'gbdt', 'learning_rate': 0.09620715150800054, 'max_bin': 71, 'min_data_in_leaf': 27, 'n_estimators': 178} | -1727.084 | -1763.055 | -1567.695 | -1486.057 | -1635.973 | 113.565 | 12 |
| 13 | 1.836 | 0.376 | 0.022 | 0.006 | 0.225 | 8 | dart | 0.099 | 70 | 11 | 167 | {'bagging_fraction': 0.22529894827273667, 'bagging_freq': 8, 'boosting_type': 'dart', 'learning_rate': 0.09917691340859398, 'max_bin': 70, 'min_data_in_leaf': 11, 'n_estimators': 167} | -1748.887 | -1742.220 | -1689.148 | -1555.319 | -1683.894 | 77.758 | 13 |
| 23 | 1.306 | 0.221 | 0.013 | 0.001 | 0.545 | 8 | dart | 0.076 | 105 | 19 | 193 | {'bagging_fraction': 0.5446504364153408, 'bagging_freq': 8, 'boosting_type': 'dart', 'learning_rate': 0.0755316223320965, 'max_bin': 105, 'min_data_in_leaf': 19, 'n_estimators': 193} | -1747.650 | -1824.570 | -1676.990 | -1523.145 | -1693.089 | 111.135 | 14 |
| 36 | 0.855 | 0.018 | 0.013 | 0.001 | 0.512 | 8 | dart | 0.078 | 86 | 21 | 344 | {'bagging_fraction': 0.5124050508727059, 'bagging_freq': 8, 'boosting_type': 'dart', 'learning_rate': 0.07805254034244383, 'max_bin': 86, 'min_data_in_leaf': 21, 'n_estimators': 344} | -1736.751 | -1811.759 | -1711.182 | -1517.383 | -1694.269 | 108.609 | 15 |
| 39 | 0.835 | 0.044 | 0.012 | 0.001 | 0.642 | 8 | dart | 0.081 | 164 | 30 | 210 | {'bagging_fraction': 0.6423079411266414, 'bagging_freq': 8, 'boosting_type': 'dart', 'learning_rate': 0.08136764000626326, 'max_bin': 164, 'min_data_in_leaf': 30, 'n_estimators': 210} | -1733.177 | -1832.168 | -1699.704 | -1516.642 | -1695.423 | 114.133 | 16 |
| 27 | 0.309 | 0.035 | 0.012 | 0.001 | 0.339 | 7 | gbdt | 0.032 | 41 | 28 | 231 | {'bagging_fraction': 0.3386164174904431, 'bagging_freq': 7, 'boosting_type': 'gbdt', 'learning_rate': 0.031669277037269745, 'max_bin': 41, 'min_data_in_leaf': 28, 'n_estimators': 231} | -1796.468 | -1868.623 | -1639.481 | -1512.819 | -1704.348 | 138.169 | 17 |
| 4 | 0.432 | 0.098 | 0.013 | 0.002 | 0.596 | 5 | gbdt | 0.027 | 65 | 49 | 185 | {'bagging_fraction': 0.5960579251101352, 'bagging_freq': 5, 'boosting_type': 'gbdt', 'learning_rate': 0.027176967873624027, 'max_bin': 65, 'min_data_in_leaf': 49, 'n_estimators': 185} | -1794.134 | -1896.435 | -1664.133 | -1500.531 | -1713.808 | 148.121 | 18 |
| 21 | 0.937 | 0.161 | 0.014 | 0.002 | 0.301 | 9 | dart | 0.086 | 136 | 18 | 162 | {'bagging_fraction': 0.30137038109414, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.08595581889543426, 'max_bin': 136, 'min_data_in_leaf': 18, 'n_estimators': 162} | -1758.813 | -1839.344 | -1744.802 | -1519.270 | -1715.557 | 118.931 | 19 |
| 43 | 0.847 | 0.045 | 0.013 | 0.003 | 0.626 | 9 | dart | 0.072 | 185 | 23 | 299 | {'bagging_fraction': 0.6262014551801904, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.07162515905637651, 'max_bin': 185, 'min_data_in_leaf': 23, 'n_estimators': 299} | -1764.552 | -1852.231 | -1728.413 | -1547.060 | -1723.064 | 111.143 | 20 |
| 18 | 1.079 | 0.183 | 0.019 | 0.001 | 0.590 | 9 | dart | 0.091 | 130 | 48 | 166 | {'bagging_fraction': 0.5904164890105315, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.0911419965541324, 'max_bin': 130, 'min_data_in_leaf': 48, 'n_estimators': 166} | -1784.860 | -1897.409 | -1761.863 | -1553.445 | -1749.394 | 124.215 | 21 |
| 49 | 0.767 | 0.178 | 0.018 | 0.005 | 0.575 | 5 | dart | 0.078 | 69 | 40 | 189 | {'bagging_fraction': 0.5754925616660449, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.07750527791955238, 'max_bin': 69, 'min_data_in_leaf': 40, 'n_estimators': 189} | -1822.565 | -1932.893 | -1793.553 | -1600.958 | -1787.492 | 119.586 | 22 |
| 11 | 0.399 | 0.037 | 0.010 | 0.001 | 0.483 | 7 | gbdt | 0.013 | 118 | 33 | 285 | {'bagging_fraction': 0.48322456394635394, 'bagging_freq': 7, 'boosting_type': 'gbdt', 'learning_rate': 0.01266803593651592, 'max_bin': 118, 'min_data_in_leaf': 33, 'n_estimators': 285} | -1893.508 | -1935.375 | -1817.536 | -1616.691 | -1815.778 | 122.458 | 23 |
| 37 | 0.680 | 0.045 | 0.013 | 0.001 | 0.550 | 7 | dart | 0.073 | 180 | 40 | 297 | {'bagging_fraction': 0.5502183116998349, 'bagging_freq': 7, 'boosting_type': 'dart', 'learning_rate': 0.07328064665551949, 'max_bin': 180, 'min_data_in_leaf': 40, 'n_estimators': 297} | -1854.019 | -1989.154 | -1858.487 | -1641.672 | -1835.833 | 124.549 | 24 |
| 14 | 0.934 | 0.216 | 0.019 | 0.003 | 0.241 | 7 | dart | 0.079 | 40 | 21 | 206 | {'bagging_fraction': 0.24073296949155726, 'bagging_freq': 7, 'boosting_type': 'dart', 'learning_rate': 0.07873952677695592, 'max_bin': 40, 'min_data_in_leaf': 21, 'n_estimators': 206} | -1891.067 | -2011.293 | -1891.876 | -1698.107 | -1873.086 | 112.244 | 25 |
| 46 | 0.633 | 0.017 | 0.011 | 0.000 | 0.318 | 9 | dart | 0.058 | 192 | 24 | 323 | {'bagging_fraction': 0.3184160731849106, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.057709934005765365, 'max_bin': 192, 'min_data_in_leaf': 24, 'n_estimators': 323} | -1986.042 | -2106.089 | -2050.577 | -1827.957 | -1992.666 | 104.153 | 26 |
| 44 | 0.382 | 0.008 | 0.013 | 0.006 | 0.214 | 4 | dart | 0.079 | 41 | 39 | 328 | {'bagging_fraction': 0.21427413284364888, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.07910514633146729, 'max_bin': 41, 'min_data_in_leaf': 39, 'n_estimators': 328} | -2012.762 | -2138.991 | -2046.295 | -1775.073 | -1993.281 | 134.198 | 27 |
| 35 | 0.966 | 0.196 | 0.014 | 0.003 | 0.673 | 8 | dart | 0.049 | 190 | 37 | 291 | {'bagging_fraction': 0.6728202776170571, 'bagging_freq': 8, 'boosting_type': 'dart', 'learning_rate': 0.04916784946800679, 'max_bin': 190, 'min_data_in_leaf': 37, 'n_estimators': 291} | -2079.601 | -2190.921 | -2136.982 | -1910.978 | -2079.620 | 105.022 | 28 |
| 40 | 0.499 | 0.024 | 0.011 | 0.001 | 0.270 | 4 | dart | 0.056 | 99 | 30 | 314 | {'bagging_fraction': 0.2703751147615228, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.05646075015987888, 'max_bin': 99, 'min_data_in_leaf': 30, 'n_estimators': 314} | -2075.731 | -2238.358 | -2151.712 | -1891.220 | -2089.255 | 127.997 | 29 |
| 42 | 0.667 | 0.028 | 0.012 | 0.001 | 0.495 | 9 | dart | 0.046 | 126 | 32 | 319 | {'bagging_fraction': 0.4945425898987232, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.04586708383905474, 'max_bin': 126, 'min_data_in_leaf': 32, 'n_estimators': 319} | -2170.603 | -2316.456 | -2258.729 | -2002.750 | -2187.135 | 118.449 | 30 |
| 31 | 1.078 | 0.445 | 0.019 | 0.012 | 0.688 | 4 | gbdt | 0.004 | 165 | 20 | 319 | {'bagging_fraction': 0.68770106672526, 'bagging_freq': 4, 'boosting_type': 'gbdt', 'learning_rate': 0.00394614507967167, 'max_bin': 165, 'min_data_in_leaf': 20, 'n_estimators': 319} | -2264.621 | -2244.802 | -2268.020 | -1990.219 | -2191.915 | 116.787 | 31 |
| 29 | 0.298 | 0.021 | 0.013 | 0.006 | 0.401 | 6 | gbdt | 0.006 | 144 | 42 | 257 | {'bagging_fraction': 0.4012474497191792, 'bagging_freq': 6, 'boosting_type': 'gbdt', 'learning_rate': 0.00575984892042627, 'max_bin': 144, 'min_data_in_leaf': 42, 'n_estimators': 257} | -2277.960 | -2302.517 | -2250.934 | -1979.651 | -2202.766 | 130.101 | 32 |
| 2 | 1.027 | 0.365 | 0.016 | 0.004 | 0.580 | 5 | dart | 0.043 | 174 | 32 | 243 | {'bagging_fraction': 0.5800802183392917, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.042888181968319665, 'max_bin': 174, 'min_data_in_leaf': 32, 'n_estimators': 243} | -2216.235 | -2368.762 | -2317.106 | -2071.467 | -2243.392 | 113.410 | 33 |
| 9 | 0.750 | 0.067 | 0.011 | 0.002 | 0.578 | 5 | dart | 0.042 | 55 | 32 | 343 | {'bagging_fraction': 0.5778608141213984, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.041700281649903255, 'max_bin': 55, 'min_data_in_leaf': 32, 'n_estimators': 343} | -2271.571 | -2405.480 | -2355.796 | -2100.992 | -2283.460 | 115.713 | 34 |
| 30 | 1.066 | 0.130 | 0.015 | 0.001 | 0.286 | 5 | dart | 0.038 | 63 | 14 | 332 | {'bagging_fraction': 0.28557645150265804, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.03830872492230061, 'max_bin': 63, 'min_data_in_leaf': 14, 'n_estimators': 332} | -2361.861 | -2501.601 | -2484.148 | -2225.460 | -2393.267 | 110.839 | 35 |
| 24 | 1.807 | 0.743 | 0.024 | 0.010 | 0.260 | 5 | dart | 0.033 | 61 | 20 | 293 | {'bagging_fraction': 0.26015593044679003, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.03345548956203344, 'max_bin': 61, 'min_data_in_leaf': 20, 'n_estimators': 293} | -2580.053 | -2750.448 | -2771.519 | -2469.566 | -2642.897 | 124.603 | 36 |
| 15 | 0.807 | 0.129 | 0.018 | 0.007 | 0.467 | 5 | gbdt | 0.001 | 192 | 16 | 315 | {'bagging_fraction': 0.4674969534439939, 'bagging_freq': 5, 'boosting_type': 'gbdt', 'learning_rate': 0.0009644304860341735, 'max_bin': 192, 'min_data_in_leaf': 16, 'n_estimators': 315} | -2870.280 | -2836.794 | -2916.507 | -2588.944 | -2803.131 | 126.859 | 37 |
| 16 | 0.878 | 0.197 | 0.013 | 0.002 | 0.277 | 4 | dart | 0.031 | 193 | 30 | 164 | {'bagging_fraction': 0.27731039009102576, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.0307309942429593, 'max_bin': 193, 'min_data_in_leaf': 30, 'n_estimators': 164} | -2773.205 | -2938.013 | -2924.392 | -2645.014 | -2820.156 | 120.036 | 38 |
| 5 | 0.607 | 0.091 | 0.017 | 0.009 | 0.259 | 5 | dart | 0.031 | 114 | 30 | 321 | {'bagging_fraction': 0.25907724124522485, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.030568542699766065, 'max_bin': 114, 'min_data_in_leaf': 30, 'n_estimators': 321} | -2807.498 | -2957.506 | -2992.983 | -2680.385 | -2859.593 | 124.709 | 39 |
| 47 | 0.907 | 0.040 | 0.012 | 0.001 | 0.342 | 9 | dart | 0.028 | 131 | 11 | 315 | {'bagging_fraction': 0.3416687098001651, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.028030551206295686, 'max_bin': 131, 'min_data_in_leaf': 11, 'n_estimators': 315} | -2799.142 | -2967.073 | -2957.612 | -2719.619 | -2860.861 | 105.357 | 40 |
| 25 | 1.395 | 0.192 | 0.023 | 0.004 | 0.690 | 6 | dart | 0.020 | 144 | 22 | 247 | {'bagging_fraction': 0.690004744222891, 'bagging_freq': 6, 'boosting_type': 'dart', 'learning_rate': 0.020488912797526373, 'max_bin': 144, 'min_data_in_leaf': 22, 'n_estimators': 247} | -3395.694 | -3545.359 | -3569.017 | -3323.974 | -3458.511 | 102.225 | 41 |
| 48 | 0.591 | 0.017 | 0.011 | 0.001 | 0.649 | 7 | dart | 0.020 | 125 | 49 | 207 | {'bagging_fraction': 0.6492219117702325, 'bagging_freq': 7, 'boosting_type': 'dart', 'learning_rate': 0.020478867465719787, 'max_bin': 125, 'min_data_in_leaf': 49, 'n_estimators': 207} | -3477.893 | -3625.081 | -3679.022 | -3405.863 | -3546.965 | 109.797 | 42 |
| 1 | 0.582 | 0.071 | 0.011 | 0.002 | 0.206 | 8 | dart | 0.021 | 124 | 21 | 150 | {'bagging_fraction': 0.20629497701052413, 'bagging_freq': 8, 'boosting_type': 'dart', 'learning_rate': 0.02054395045871853, 'max_bin': 124, 'min_data_in_leaf': 21, 'n_estimators': 150} | -3530.200 | -3657.556 | -3690.255 | -3391.109 | -3567.280 | 117.987 | 43 |
| 8 | 0.840 | 0.152 | 0.013 | 0.002 | 0.524 | 5 | dart | 0.019 | 88 | 32 | 168 | {'bagging_fraction': 0.5243355195208359, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.01930255919558733, 'max_bin': 88, 'min_data_in_leaf': 32, 'n_estimators': 168} | -3571.323 | -3723.834 | -3774.431 | -3493.099 | -3640.672 | 113.352 | 44 |
| 19 | 0.885 | 0.328 | 0.012 | 0.002 | 0.218 | 4 | dart | 0.016 | 54 | 21 | 163 | {'bagging_fraction': 0.2177175661171621, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.01621020286637137, 'max_bin': 54, 'min_data_in_leaf': 21, 'n_estimators': 163} | -3956.390 | -4125.425 | -4148.849 | -3882.768 | -4028.358 | 112.156 | 45 |
| 34 | 1.080 | 0.133 | 0.019 | 0.007 | 0.539 | 5 | dart | 0.011 | 42 | 38 | 265 | {'bagging_fraction': 0.5394541193908347, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.010722323989375416, 'max_bin': 42, 'min_data_in_leaf': 38, 'n_estimators': 265} | -4747.245 | -4893.667 | -4942.862 | -4656.902 | -4810.169 | 114.050 | 46 |
| 33 | 1.667 | 0.502 | 0.014 | 0.004 | 0.575 | 6 | dart | 0.010 | 77 | 11 | 206 | {'bagging_fraction': 0.5745772422932669, 'bagging_freq': 6, 'boosting_type': 'dart', 'learning_rate': 0.009565808020574973, 'max_bin': 77, 'min_data_in_leaf': 11, 'n_estimators': 206} | -4876.899 | -5055.037 | -5074.910 | -4819.780 | -4956.657 | 110.407 | 47 |
| 7 | 0.505 | 0.050 | 0.011 | 0.002 | 0.402 | 9 | dart | 0.009 | 148 | 47 | 242 | {'bagging_fraction': 0.4015545223620346, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.009167797704707359, 'max_bin': 148, 'min_data_in_leaf': 47, 'n_estimators': 242} | -5049.158 | -5213.151 | -5256.091 | -4945.968 | -5116.092 | 124.942 | 48 |
| 41 | 0.636 | 0.045 | 0.010 | 0.001 | 0.390 | 7 | dart | 0.008 | 104 | 28 | 288 | {'bagging_fraction': 0.39032183060889597, 'bagging_freq': 7, 'boosting_type': 'dart', 'learning_rate': 0.008231582898978972, 'max_bin': 104, 'min_data_in_leaf': 28, 'n_estimators': 288} | -5197.801 | -5367.000 | -5401.755 | -5105.671 | -5268.057 | 121.419 | 49 |
| 38 | 0.872 | 0.050 | 0.012 | 0.001 | 0.561 | 4 | dart | 0.006 | 107 | 13 | 223 | {'bagging_fraction': 0.5605563331132271, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.005821247081529247, 'max_bin': 107, 'min_data_in_leaf': 13, 'n_estimators': 223} | -5662.535 | -5852.206 | -5866.914 | -5591.635 | -5743.322 | 119.023 | 50 |
In [85]:
# Zwrócenie najlepszego modelu do zmiennej
best_model_wo = random_search_without_outliers.best_estimator_
In [86]:
# Obliczenie metryk dla zbioru uczącego i testowego
calculate_metrics(best_model_wo, X_train_wo, y_train_wo, X_test_wo, y_test_wo)
| train | test | |
|---|---|---|
| MAPE | 6.746 | 9.601 |
| RMSE | 931.749 | 1520.538 |
In [87]:
# Wykres reszt
residuals_plot(best_model_wo, X_train_wo, y_train_wo, X_test_wo, y_test_wo)
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\sklearn\base.py:209: FutureWarning: From version 0.24, get_params will raise an AttributeError if a parameter cannot be retrieved as an instance attribute. Previously it would return None.
Out[87]:
ResidualsPlot(ax=<AxesSubplot:title={'center':'Residuals for LGBMRegressor Model'}, xlabel='Predicted Value', ylabel='Residuals'>,
line_color=None, model=None, test_alpha=None, test_color=None,
train_alpha=None, train_color=None)
In [88]:
# Wykres błędów predykcji
prediction_error(best_model_wo, X_train_wo, y_train_wo, X_test_wo, y_test_wo)
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\sklearn\base.py:209: FutureWarning: From version 0.24, get_params will raise an AttributeError if a parameter cannot be retrieved as an instance attribute. Previously it would return None.
Out[88]:
PredictionError(ax=<AxesSubplot:title={'center':'Prediction Error for LGBMRegressor'}, xlabel='$y$', ylabel='$\\hat{y}$'>,
model=None)
In [89]:
# Interpretacja wyników modelu z wykorzystaniem wartości SHAP
shap_values = shap.TreeExplainer(best_model).shap_values(X_test_wo)
In [90]:
shap.summary_plot(shap_values, X_test_wo)
Usunięcie wartości odstających poprawiło wyniki modelu - podniesienie R2 o blisko 2 punkty procentowe, redukcja błędów predykcji.
Z wykresu reszt oraz błędów predykcji można zauważyć, że model słabiej radzi sobie z ofertami o wysokiej cenie za metr - powyżej 15 tysięcy złotych.
Z wykresu wartości SHAP można zauważyć m.in:
- im starszy budynek tym bardziej negatywny wpływ na cenę jednostkową
- dłuższy dojazd transportem zbiorowym wpływa negatywnie na cenę jednostkową
- położenie w dzielnicach nadmorskich pozytywnie wpływa na cenę
- nieruchomości do remontu mają niższą cenę za metr
- nieruchomości, które nie są w Gdańsku mają wyższą cenę za metr